{ "capped": false, "live": 442, "meta": 453, "kernels": [ { "ref": "veksel/homework-cv7-segmentation", "title": "Homework_CV7_Segmentation", "source": "live", "kernel_id": "128233644" }, { "ref": "serdaronal/sartorius-cell-instance-segmentation", "title": "Sartorius-Cell Instance Segmentation", "source": "live", "kernel_id": "117864640" }, { "ref": "aliaborad/segmentation", "title": "segmentation", "source": "live", "kernel_id": "116554763" }, { "ref": "yurbanrus/kletki", "title": "kletki", "source": "live", "kernel_id": "114136390" }, { "ref": "mrdeptrai/offical-mask-r-cnn", "title": "[OFFICAL] Mask R-CNN", "source": "live", "kernel_id": "111638427" }, { "ref": "mrdeptrai/unet-sartorius-cell-instance-segmentation", "title": "UNET / Sartorius - Cell Instance Segmentation", "source": "live", "kernel_id": "111305494" }, { "ref": "alexdenim/cv-7-homework-try", "title": "CV-7 Homework Try", "source": "live", "kernel_id": "108956405" }, { "ref": "dmitri63633/cv7test", "title": "CV7TEST", "source": "live", "kernel_id": "107823913" }, { "ref": "malikasadriaz/sartorius-mask-rcnn-efficientnetv2-train-2h", "title": "Sartorius MASK-RCNN EfficientNetV2 Train < 2H 🔥", "source": "live", "kernel_id": "97732671" }, { "ref": "zhufengdan/original-cell", "title": "original-cell", "source": "live", "kernel_id": "85505828" }, { "ref": "zhufengdan/cv-homework-cell", "title": "cv-homework-cell", "source": "live", "kernel_id": "85475106" }, { "ref": "garrrar/notebook8643347ba4-a6a269", "title": "notebook8643347ba4 a6a269", "source": "live", "kernel_id": "84195887" }, { "ref": "alluka1125/refined-work-ensembled", "title": "refined-work-ensembled", "source": "live", "kernel_id": "84124302" }, { "ref": "annakompan/old-test-2-1", "title": "old-test-2.1", "source": "live", "kernel_id": "84123714" }, { "ref": "annakompan/old-test-2", "title": "old-test-2", "source": "live", "kernel_id": "84087866" }, { "ref": "annakompan/old-test-ipynb", "title": "old_test.ipynb", "source": "live", "kernel_id": "84072687" }, { "ref": "annakompan/submit-pretrained-w-ipynb", "title": "submit_pretrained_w.ipynb", "source": "live", "kernel_id": "84046344" }, { "ref": "kirita74/notebook1831029554-50a37a", "title": "notebook1831029554 50a37a", "source": "live", "kernel_id": "84009547" }, { "ref": "kirita74/notebook1831029554", "title": "notebook1831029554", "source": "live", "kernel_id": "84009157" }, { "ref": "annakompan/best-from-kag-eval", "title": "best_from_kag+eval", "source": "live", "kernel_id": "83965818" }, { "ref": "annakompan/new-data-preproc", "title": "new_data_preproc", "source": "live", "kernel_id": "83929024" }, { "ref": "chungenchiang/maskrcnn-cellpose", "title": "MaskRCNN + Cellpose", "source": "live", "kernel_id": "83903125" }, { "ref": "annakompan/mask-3", "title": "mask_3", "source": "live", "kernel_id": "83848040" }, { "ref": "kirita74/notebookbeb8ac7f0f", "title": "notebookbeb8ac7f0f", "source": "live", "kernel_id": "83804699" }, { "ref": "garrrar/notebookbeb8ac7f0f", "title": "notebookbeb8ac7f0f", "source": "live", "kernel_id": "83732771" }, { "ref": "chungenchiang/cellpose", "title": "Cellpose", "source": "live", "kernel_id": "83663711" }, { "ref": "irbiit/cell-segmentation", "title": "Cell_Segmentation", "source": "live", "kernel_id": "83596386" }, { "ref": "chungenchiang/notebook5818a93945", "title": "notebook5818a93945", "source": "live", "kernel_id": "83177563" }, { "ref": "alexeyslepov/homework-cv7-segmentation", "title": "Homework_CV7_Segmentation", "source": "live", "kernel_id": "79076785" }, { "ref": "zzha0331/sartorius-eda-res", "title": "Sartorius EDA+res", "source": "live", "kernel_id": "75035139" }, { "ref": "sirikonam/positive-score-with-detectron-3-3-inferen-66c3ef", "title": "Positive score with Detectron 3/3 - Inferen 66c3ef", "source": "live", "kernel_id": "72665631" }, { "ref": "sirikonam/cell-instance-classify-densenet201", "title": "Cell Instance Classify DenseNet201", "source": "live", "kernel_id": "72392330" }, { "ref": "zyh1104/022-exploratory-data-analysis", "title": "022_exploratory_data_analysis", "source": "live", "kernel_id": "71510423" }, { "ref": "khh111/notebook9ddf1ed5e1", "title": "notebook9ddf1ed5e1", "source": "live", "kernel_id": "71377863" }, { "ref": "rekhamuppa/semantic-segmentation-with-pytorch-and-u-net", "title": "Semantic Segmentation with PyTorch and U-Net", "source": "live", "kernel_id": "71361132" }, { "ref": "abhikoti/semantic-segmentation-with-pytorch-and-u-net", "title": "Semantic Segmentation with PyTorch and U-Net", "source": "live", "kernel_id": "70807611" }, { "ref": "sirikonam/tf-deep-residual-unet-with-attention-train", "title": "[TF] Deep Residual UNet with Attention 🤖 [Train] ", "source": "live", "kernel_id": "70136555" }, { "ref": "sirikonam/sartorius-complete-from-eda-to-submit-unet", "title": "Sartorius_complete_from_EDA_to_submit_UNET", "source": "live", "kernel_id": "70132398" }, { "ref": "sirikonam/semantic-segmentation-with-pytorch-and-u-net", "title": "Semantic Segmentation with PyTorch and U-Net", "source": "live", "kernel_id": "70038883" }, { "ref": "sirikonam/sartorius-simple-cnn-keras", "title": "Sartorius_simple_cnn_keras", "source": "live", "kernel_id": "69542851" }, { "ref": "sirikonam/sartorius-mask-r-cnn", "title": "🧪 Sartorius Mask R-CNN ", "source": "live", "kernel_id": "69521169" }, { "ref": "youhane/sartorius-gene-segmentation", "title": "sartorius_gene_segmentation", "source": "live", "kernel_id": "67542819" }, { "ref": "hasimiali/sartorius-mask-rcnn-efficientnetv2-train-2h", "title": "Sartorius MASK-RCNN EfficientNetV2 Train < 2H 🔥", "source": "live", "kernel_id": "58975176" }, { "ref": "liliyak/homework-cv7-segmentation-baseline", "title": "Homework_CV7_Segmentation_Baseline", "source": "live", "kernel_id": "56605280" }, { "ref": "shidonglin/sartorius-unet-with-pytorch", "title": "Sartorius - UNet with Pytorch", "source": "live", "kernel_id": "54788937" }, { "ref": "paulaescudero/cellpose-train", "title": "Cellpose [TRAIN]", "source": "live", "kernel_id": "52922639" }, { "ref": "altusartur/cell-is", "title": "cell_IS", "source": "live", "kernel_id": "52158347" }, { "ref": "varun021/sartorius-eda-transformation-and-segmentation", "title": "Sartorius - EDA, transformation and segmentation", "source": "live", "kernel_id": "51560475" }, { "ref": "paulaescudero/soluci-n-base-train", "title": "Solución base [Train]", "source": "live", "kernel_id": "50775587" }, { "ref": "paulaescudero/pytorch-sartorius-unet-strikes-back-infer", "title": "[PyTorch] Sartorius: UNet Strikes Back [Infer]🔥", "source": "live", "kernel_id": "50740923" }, { "ref": "paulaescudero/exploratory-data-analysis", "title": "exploratory_data_analysis", "source": "live", "kernel_id": "50520865" }, { "ref": "enzou3/sartorius-mask-r-cnn", "title": "🧪 Sartorius Mask R-CNN ", "source": "live", "kernel_id": "49584074" }, { "ref": "tommmmer/transunet2-0", "title": "transunet2.0", "source": "live", "kernel_id": "48391909" }, { "ref": "raywxr/transunet2-0", "title": "transunet2.0", "source": "live", "kernel_id": "48212696" }, { "ref": "sereinserein/123456", "title": "细胞123456", "source": "live", "kernel_id": "47685055" }, { "ref": "junxhuang/inference-sartorius-transfer-learning", "title": "[inference] Sartorius transfer learning", "source": "live", "kernel_id": "46252990" }, { "ref": "dbzadnen/satorius-cell-instance-segmentation", "title": "Satorius Cell Instance Segmentation", "source": "live", "kernel_id": "45307305" }, { "ref": "markpp/sartorius-starter-torch-mask-r-cnn-lb-0-273", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]", "source": "live", "kernel_id": "43983528" }, { "ref": "ahmedhamdi906/inst-detectron2", "title": "inst_detectron2", "source": "live", "kernel_id": "42318914" }, { "ref": "alimustoofaa/detectron2-download-code-for-offline-install-ii", "title": "Detectron2: Download code for offline install II", "source": "live", "kernel_id": "42097290" }, { "ref": "tapaskd123/validation-plot-medical-segmentation", "title": "validation_plot_medical_segmentation", "source": "live", "kernel_id": "40780598" }, { "ref": "egornekludov/semantic-segmentation-with-pytorch-and-u-net", "title": "Semantic Segmentation with PyTorch and U-Net", "source": "live", "kernel_id": "39137575" }, { "ref": "abrachan/sartorius-unet-from-scratch-with-pytorch", "title": "Sartorius - UNet (from scratch) with Pytorch", "source": "live", "kernel_id": "37576373" }, { "ref": "abrachan/sartorius-maskrcnn-with-pytorch", "title": "Sartorius - MaskRcnn with Pytorch", "source": "live", "kernel_id": "37450520" }, { "ref": "igorchubarov/finals-sber", "title": "Finals_Sber", "source": "live", "kernel_id": "37386294" }, { "ref": "shnakazawa/semantic-segmentation-with-pytorch-and-u-net", "title": "Semantic Segmentation with PyTorch and U-Net", "source": "live", "kernel_id": "36087576" }, { "ref": "martinlanchon/satorius-prad-lanchon", "title": "Satorius - Prad/Lanchon", "source": "live", "kernel_id": "33876975" }, { "ref": "validmodel/baseline-model-inference", "title": "baseline model inference", "source": "live", "kernel_id": "33681973" }, { "ref": "validmodel/creating-annotation", "title": "Creating Annotation", "source": "live", "kernel_id": "33633867" }, { "ref": "validmodel/baseline-model", "title": "Baseline_Model", "source": "live", "kernel_id": "33633582" }, { "ref": "danduong/segment-using-unet", "title": "segment_using_unet ", "source": "live", "kernel_id": "33064793" }, { "ref": "truthisneverlinear/train-image-embedding-and-cosine-similarity", "title": "Train Image Embedding and Cosine Similarity", "source": "live", "kernel_id": "32952051" }, { "ref": "truthisneverlinear/semisupervised-image-embeddings-and-similarity", "title": "Semisupervised Image Embeddings and Similarity", "source": "live", "kernel_id": "32942983" }, { "ref": "hadibakhsh/sartorius-torch-mask-r-cnn", "title": "🦠 Sartorius - Torch Mask R-CNN", "source": "live", "kernel_id": "32883961" }, { "ref": "truthisneverlinear/semisupervised-classifier-tf", "title": "Semisupervised Classifier | TF", "source": "live", "kernel_id": "32495878" }, { "ref": "rohitdhankar/sartorius-init-code", "title": "Sartorius_init_code", "source": "live", "kernel_id": "32473933" }, { "ref": "truthisneverlinear/livecells-2021-classification-tf", "title": "LIVECells_2021 Classification | TF", "source": "live", "kernel_id": "32422682" }, { "ref": "rhuthvikdendukuri/sartorius-mask-rcnn-efficientnetv2-train-2h", "title": "Sartorius MASK-RCNN EfficientNetV2 Train < 2H", "source": "live", "kernel_id": "32204386" }, { "ref": "mahmoudlimam/xai-visualization-nervous-cell-classification", "title": "XAI & Visualization - Nervous Cell Classification", "source": "live", "kernel_id": "32031982" }, { "ref": "mahmoudlimam/sartorius-eda-for-classification", "title": "Sartorius EDA for Classification", "source": "live", "kernel_id": "31778463" }, { "ref": "mdeasinhasan/notebook10f2f75a92", "title": "notebook10f2f75a92", "source": "live", "kernel_id": "31435137" }, { "ref": "amirhossiengerami/sartoruis", "title": "sartoruis", "source": "live", "kernel_id": "31095929" }, { "ref": "mahmoudlimam/baseline-instance-segmentation-nervous-cells", "title": "Baseline - Instance Segmentation - Nervous Cells", "source": "live", "kernel_id": "30984084" }, { "ref": "mahmoudlimam/eda-nervous-cell-instance-segmentation", "title": "EDA - Nervous Cell Instance Segmentation", "source": "live", "kernel_id": "30613503" }, { "ref": "dudifrid/how-to-use-mmdectetion-my-edition", "title": "how to use mmdectetion - my edition", "source": "live", "kernel_id": "28426875" }, { "ref": "luukhang/sartorius-livecell-shsy5y-data-gen", "title": "[SARTORIUS] LIVECell SHSY5Y Data Gen", "source": "live", "kernel_id": "28023466" }, { "ref": "luukhang/sartorius-cellpose-train", "title": "[SARTORIUS] Cellpose Train", "source": "live", "kernel_id": "27919721" }, { "ref": "korrawizchotayapa/label-sartorius-starter-torch-mask-r-cnn-l", "title": "Label_Sartorius - Starter Torch Mask R-CNN [L", "source": "live", "kernel_id": "27887916" }, { "ref": "luukhang/sartorius-cellpose-sizemodel-train", "title": "[SARTORIUS] Cellpose SizeModel Train", "source": "live", "kernel_id": "27867543" }, { "ref": "datakite/sartorius-cell-instance-segmentation", "title": "Sartorius cell instance segmentation", "source": "live", "kernel_id": "27672094" }, { "ref": "ehan12/ensemble-nms-detectron2-inference-ab57ec", "title": "Ensemble NMS - Detectron2 [Inference] ab57ec", "source": "live", "kernel_id": "27556213" }, { "ref": "vexxingbanana/ear-mouse-segmentation", "title": "Ear Mouse Segmentation", "source": "live", "kernel_id": "27489491" }, { "ref": "phanttan/metrics-map-iou", "title": "[Metrics]📐mAP IoU🌈", "source": "live", "kernel_id": "27309890" }, { "ref": "czmncut/sartorius-torch-faster-5-19", "title": " 🦠 Sartorius - Torch Faster 5.19", "source": "live", "kernel_id": "27190152" }, { "ref": "czmxix/sartorius-torch-faster-5-19", "title": " 🦠 Sartorius - Torch Faster 5.19", "source": "live", "kernel_id": "27183956" }, { "ref": "czmxix/fork-of-sartorius-torch-faster-r-cnn-1-11", "title": "Fork of 🦠 Sartorius - Torch Faster R-CNN 1 11", "source": "live", "kernel_id": "27142438" }, { "ref": "sarobarroy/simple-nn-segmentation", "title": "Simple NN Segmentation", "source": "live", "kernel_id": "27050063" }, { "ref": "sarobarroy/sartorus-1-trecord-dcnn", "title": "[Sartorus] [1] Trecord/DCNN", "source": "live", "kernel_id": "27023355" }, { "ref": "czmxix/5-8-sartorius-torch", "title": "5.8 🦠 Sartorius - Torch", "source": "live", "kernel_id": "26888778" }, { "ref": "xixize11/5-6-sartorius-torch", "title": "5.6 🦠 Sartorius - Torch", "source": "live", "kernel_id": "26824568" }, { "ref": "xixize11/fork-of-fork-of-sartorius-torch-faster-5-5", "title": "Fork of Fork of 🦠 Sartorius - Torch Faster 5.5", "source": "live", "kernel_id": "26821196" }, { "ref": "czmncut/fork-of-fork-of-sartorius-torch-faster-r-cnn", "title": "Fork of Fork of 🦠 Sartorius - Torch Faster R-CNN ", "source": "live", "kernel_id": "26705690" }, { "ref": "xixize11/sartorius-torch-faster-r-cnn-5-6", "title": "🦠 Sartorius - Torch Faster R-CNN 5.6", "source": "live", "kernel_id": "26662067" }, { "ref": "czmncut/fork-of-sartorius-torch-faster-r-cnn-111", "title": "Fork of 🦠 Sartorius - Torch Faster R-CNN 111", "source": "live", "kernel_id": "26640396" }, { "ref": "czmxix/fork-of-sartorius-torch-faster-r-cnn-111", "title": "Fork of 🦠 Sartorius - Torch Faster R-CNN 111", "source": "live", "kernel_id": "26603364" }, { "ref": "vineethakkinapalli/uw-madison-gi-tract-detectron2-train", "title": "uw-madison-gi-tract - Detectron2 [Train]", "source": "live", "kernel_id": "26598516" }, { "ref": "luukhang/sartorius-eda", "title": "[Sartorius] EDA", "source": "live", "kernel_id": "26574307" }, { "ref": "czmxix/sartorius-torch-faster-r-cnn", "title": "🦠 Sartorius - Torch Faster R-CNN", "source": "live", "kernel_id": "26549221" }, { "ref": "czmxix/fork-of-sartorius-torch-faster-r-cnn-275ce5", "title": "Fork of 🦠 Sartorius - Torch Faster R-CNN 275ce5", "source": "live", "kernel_id": "26544035" }, { "ref": "czmncut/fork-of-sartorius-torch-faster-r-cnn-275ce5", "title": "Fork of 🦠 Sartorius - Torch Faster R-CNN 275ce5", "source": "live", "kernel_id": "26542007" }, { "ref": "czmncut/sartorius-torch-faster-r-cnn-275ce5", "title": "🦠 Sartorius - Torch Faster R-CNN 275ce5", "source": "live", "kernel_id": "26234629" }, { "ref": "piyush1089/sartorius-detectron", "title": "Sartorius_Detectron", "source": "live", "kernel_id": "26155580" }, { "ref": "nhthunhhong/ieee-sartorius-segmentation", "title": "IEEE_Sartorius-Segmentation", "source": "live", "kernel_id": "26013917" }, { "ref": "luukhang/sartorius-cellpose-inference", "title": "[SARTORIUS] Cellpose Inference", "source": "live", "kernel_id": "25986691" }, { "ref": "lhd0430/sartorius-cell-instance-segmentation", "title": "Sartorius - Cell Instance Segmentation", "source": "live", "kernel_id": "25071119" }, { "ref": "greenwizard/strangedetector", "title": "StrangeDetector", "source": "live", "kernel_id": "24924469" }, { "ref": "fengqianpang/sartorius-torch-faster-r-cnn", "title": "🦠 Sartorius - Torch Faster R-CNN", "source": "live", "kernel_id": "24916921" }, { "ref": "nadirhanahin/sartorius-mask-rcnn-efficientnetv2-b1", "title": "Sartorius MASK-RCNN EfficientNetV2-b1", "source": "live", "kernel_id": "24885210" }, { "ref": "ccvipchenbin/fork-of-fork-of-how-to-use-mmdectetion", "title": "Fork of Fork of how to use mmdectetion", "source": "live", "kernel_id": "24571721" }, { "ref": "arafatasim/sartorius-torch-mask-r-cnn-d2b335", "title": "🦠 Sartorius - Torch Mask R-CNN d2b335", "source": "live", "kernel_id": "24507818" }, { "ref": "arafatasim/sartorius-torch-mask-r-cnn", "title": "🦠 Sartorius - Torch Mask R-CNN", "source": "live", "kernel_id": "24507084" }, { "ref": "tanviranjum/sartorius-starter-torch-mask-r-cnn-lb-0-273", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]", "source": "live", "kernel_id": "24488413" }, { "ref": "arafatasim/sartorius-starter-torch-mask-r-cnn-lb-0-273", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]", "source": "live", "kernel_id": "24486772" }, { "ref": "nikmarker/sartorius-starter-torch-mask-r-cnn-lb-0-273", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]", "source": "live", "kernel_id": "24391966" }, { "ref": "samyukthamobile/cell-segmentation-eda-cnn-easy-simple-beginner", "title": "Cell Segmentation EDA CNN Easy simple beginner 🧪 ", "source": "live", "kernel_id": "24329871" }, { "ref": "alepru/kddm2-mmcls-train", "title": "kddm2_mmcls_train", "source": "live", "kernel_id": "24187057" }, { "ref": "alepru/kddm2-mmdet-train-inf", "title": "kddm2_mmdet_train_inf", "source": "live", "kernel_id": "24184115" }, { "ref": "alepru/kddm2-cellpose-train", "title": "kddm2_cellpose_train", "source": "live", "kernel_id": "24182792" }, { "ref": "alepru/kddm2-cellpose-inf", "title": "kddm2_cellpose_inf", "source": "live", "kernel_id": "24181145" }, { "ref": "alepru/kddm2-unet-train-inf", "title": "kddm2_unet_train_inf", "source": "live", "kernel_id": "24178155" }, { "ref": "aimanlim0/cow-seg-with-detectron-training", "title": "cow seg with Detectron Training", "source": "live", "kernel_id": "24146621" }, { "ref": "juhha1/simple-model-development-using-monai", "title": "Simple model development using MONAI", "source": "live", "kernel_id": "23958308" }, { "ref": "vikzz69/cell-inst-vivek", "title": "Cell-inst -Vivek", "source": "live", "kernel_id": "23790904" }, { "ref": "fqpang/detectron2-download-code-for-offline-installation", "title": "Detectron2: Download code for offline installation", "source": "live", "kernel_id": "23789573" }, { "ref": "arafatasim/biomed-cell-segmentation", "title": "BIOMED CELL SEGMENTATION", "source": "live", "kernel_id": "23787870" }, { "ref": "awsaf49/sartorious-biomed-project-fixed", "title": "Sartorious: Biomed Project Fixed", "source": "live", "kernel_id": "23787263" }, { "ref": "markunys/8th-place-solution-inference", "title": "8th place solution [inference]", "source": "live", "kernel_id": "23459732" }, { "ref": "awsaf49/sartorius-coco-data", "title": "Sartorius: COCO Data", "source": "live", "kernel_id": "23450578" }, { "ref": "namgalielei/maskrcnn-v21-v16-ensemble-stage2catboost", "title": "MaskRCNN_V21_V16_Ensemble_Stage2CatBoost", "source": "live", "kernel_id": "23450108" }, { "ref": "handudu/how-to-use-mmdectetion", "title": "how to use mmdectetion", "source": "live", "kernel_id": "23442240" }, { "ref": "dylandehili/sartorus-3-3-tfrecord", "title": "[Sartorus] [3] 3 tfrecord", "source": "live", "kernel_id": "23426087" }, { "ref": "ehabibrahim758/detectron2-final-train-notebook-fold-2-x101-fpn", "title": "detectron2 Final Train NoteBook Fold 2 (X101-FPN)", "source": "live", "kernel_id": "23425052" }, { "ref": "nathennguyen/u-net-with-90k-parameters", "title": "U-Net with <90k Parameters", "source": "live", "kernel_id": "23421390" }, { "ref": "beatwad/ensemble-x152-resnest-swint-tuned", "title": "Ensemble X152 + ResNest + Swint tuned", "source": "live", "kernel_id": "23394945" }, { "ref": "damtrongtuyen/sartorius-cellpose-inference-customize-all-in", "title": "Sartorius Cellpose inference customize all in", "source": "live", "kernel_id": "23388833" }, { "ref": "ehabibrahim758/detectron-original-images-inferenc", "title": "Detectron-original-images-Inferenc", "source": "live", "kernel_id": "23387735" }, { "ref": "kugaichen/how-to-use-mmdectetion", "title": "how to use mmdectetion", "source": "live", "kernel_id": "23363385" }, { "ref": "ehabibrahim758/shsy5y-json", "title": "shsy5y-json", "source": "live", "kernel_id": "23329122" }, { "ref": "ehabibrahim758/unsharped-original-images-json", "title": "Unsharped-Original-Images-json", "source": "live", "kernel_id": "23312841" }, { "ref": "ehabibrahim758/original-images-json", "title": "Original-Images-json", "source": "live", "kernel_id": "23312195" }, { "ref": "omargamal064/cellpose-inference2", "title": "Cellpose inference2", "source": "live", "kernel_id": "23299295" }, { "ref": "omargamal064/sep-classes", "title": "Sep. Classes", "source": "live", "kernel_id": "23132971" }, { "ref": "ehabibrahim758/to-json-power-2", "title": "To-Json Power 2", "source": "live", "kernel_id": "23114850" }, { "ref": "theoviel/sartorius-inference-final", "title": "Sartorius Inference final", "source": "live", "kernel_id": "23111040" }, { "ref": "ehabibrahim758/shsy5y-images", "title": "SHSY5Y-Images", "source": "live", "kernel_id": "23105139" }, { "ref": "ehabibrahim758/mmdetection-training-new-data-with-new-cfg", "title": "MMDetection Training New Data With New cfg", "source": "live", "kernel_id": "23077696" }, { "ref": "ryusuke20210920/my-ensemble-privatescore-0-311", "title": "my_Ensemble_PrivateScore=0.311", "source": "live", "kernel_id": "23041991" }, { "ref": "mayur7garg/sartorius-eda-transformation-and-segmentation", "title": "Sartorius - EDA, transformation and segmentation", "source": "live", "kernel_id": "23025979" }, { "ref": "hideyukizushi/scis-inf-mmdetection-detectors-exp801-329-344", "title": "SCIS[INF]MMDetection-detectors-exp801-.329-.344", "source": "live", "kernel_id": "23022589" }, { "ref": "guofenwei/positive-score-with-detectron-3-3-inference", "title": "Positive score with Detectron 3/3 - Inference", "source": "live", "kernel_id": "23019443" }, { "ref": "aishikai/scs-cellpose-infer", "title": "SCS CellPose [Infer]", "source": "live", "kernel_id": "23011382" }, { "ref": "guohey/ensemble-nmw-guo-d29a99", "title": "Ensemble NMW - guo d29a99", "source": "live", "kernel_id": "22997187" }, { "ref": "persistentprogrammer/1-cell-instance-segmentation-data-processing", "title": "1. Cell Instance Segmentation - Data Processing", "source": "live", "kernel_id": "22996336" }, { "ref": "ks2019/cellpose-training-pipeline", "title": "Cellpose Training Pipeline", "source": "live", "kernel_id": "22970234" }, { "ref": "andreashorlbeck/sartorius-run-length-endecoding", "title": "Sartorius - Run Length EnDecoding", "source": "live", "kernel_id": "22963263" }, { "ref": "manjushabijunair/cell-segmentation-maskrcnn-implementation", "title": "Cell Segmentation MaskRCNN implementation", "source": "live", "kernel_id": "22935307" }, { "ref": "plumeria/quick-start-sartorius", "title": "Quick start Sartorius ", "source": "live", "kernel_id": "22921420" }, { "ref": "ammarnassanalhajali/ensemble-non-maximum-weighed-detectron2-infer", "title": "Ensemble Non Maximum Weighed- Detectron2 [Infer]", "source": "live", "kernel_id": "22912574" }, { "ref": "arcsinx/sartorius-starter-torch-mask-r-cnn-lb-0-273", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]", "source": "live", "kernel_id": "22912505" }, { "ref": "tianshuo42/inference-unet", "title": "Inference Unet", "source": "live", "kernel_id": "22910529" }, { "ref": "albertozorzetto/sartorius-cell-segmentation-deeplabv3-inference", "title": "Sartorius - Cell Segmentation DeepLabV3 -INFERENCE", "source": "live", "kernel_id": "22887853" }, { "ref": "as200188/sartorius-starter-torch-mask-r-cnn-lb-0-273", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]", "source": "live", "kernel_id": "22879266" }, { "ref": "testforflb/inference-unet", "title": "Inference Unet", "source": "live", "kernel_id": "22875922" }, { "ref": "aishikai/scs-mmdet-train-swin", "title": "SCS MMDet [Train] Swin", "source": "live", "kernel_id": "22871009" }, { "ref": "slavkoprytula/detectron2-copy-paste-augmentation", "title": "✔️ Detectron2 | Copy-Paste Augmentation", "source": "live", "kernel_id": "22860130" }, { "ref": "rachanabisht/beginner-s-guide-to-working-on-cell-images", "title": "Beginner's guide to working on cell images", "source": "live", "kernel_id": "22858810" }, { "ref": "tianshuo42/inference-and-submission", "title": "Inference and Submission", "source": "live", "kernel_id": "22858190" }, { "ref": "manikyab/cell-classification-captum-interpretation", "title": "Cell Classification Captum Interpretation ", "source": "live", "kernel_id": "22830681" }, { "ref": "mariazhokhova/sartorius-image-segmentation-with-u-net-tf", "title": "Sartorius - Image segmentation with U-Net TF", "source": "live", "kernel_id": "22828055" }, { "ref": "carlosgut/sartorius-simple-cnn-keras", "title": "Sartorius_simple_cnn_keras", "source": "live", "kernel_id": "22827425" }, { "ref": "ishwaryakasu6/cellsegmentationunet", "title": "CellSegmentationUnet", "source": "live", "kernel_id": "22820527" }, { "ref": "manikyab/cell-classification-helper-notebook", "title": "Cell Classification Helper Notebook", "source": "live", "kernel_id": "22815043" }, { "ref": "israrahmed919/unet-on-splitting-data", "title": "Unet on splitting data", "source": "live", "kernel_id": "22814229" }, { "ref": "fortelean/get-clean-masks", "title": "Get clean masks", "source": "live", "kernel_id": "22813471" }, { "ref": "virajkadam/sartorius-cell-instance-segmentation-infer", "title": "Sartorius:Cell Instance Segmentation(Infer)", "source": "live", "kernel_id": "22810320" }, { "ref": "manikyab/cell-segmentation-using-3-mask-r-cnns-and-resnet18", "title": "Cell Segmentation using 3 Mask R-CNNs and Resnet18", "source": "live", "kernel_id": "22788216" }, { "ref": "hongchaoshu/sartorius-cell-instance-segmentation-pyt-19d48f", "title": "Sartorius - Cell Instance Segmentation [pyt 19d48f", "source": "live", "kernel_id": "22773073" }, { "ref": "xanjay/evaluate-using-competition-map-metric", "title": "Evaluate using competition mAP metric", "source": "live", "kernel_id": "22772379" }, { "ref": "arunpurakkatt/generating-masks-from-encoded-pixels", "title": "Generating_masks_from_Encoded_Pixels ", "source": "live", "kernel_id": "22771054" }, { "ref": "ishwaryakasu6/notebookunet-draft1", "title": "notebookUnet_draft1", "source": "live", "kernel_id": "22764696" }, { "ref": "pavlohilei/notebook84ae01b260", "title": "notebook84ae01b260", "source": "live", "kernel_id": "22751588" }, { "ref": "shir0mani/xai-cell-classification-lime", "title": "XAI: Cell classification + LIME", "source": "live", "kernel_id": "22743005" }, { "ref": "iusami/celltype-classification", "title": "celltype_classification", "source": "live", "kernel_id": "22735853" }, { "ref": "albertozorzetto/sartorius-cell-segmentation-deeplabv3-training", "title": "Sartorius - Cell Segmentation DeepLabV3 - TRAINING", "source": "live", "kernel_id": "22732394" }, { "ref": "markwijkhuizen/sartorius-custom-mask-rcnn-livecell-pretraining", "title": "Sartorius Custom MASK-RCNN LIVECell Pretraining", "source": "live", "kernel_id": "22729615" }, { "ref": "virajkadam/sartorius-cell-segmentation-using-detectron2-tr", "title": "Sartorius:Cell Segmentation using detectron2(Tr)", "source": "live", "kernel_id": "22725296" }, { "ref": "afzal1232981/pytorch-sartorius-unet-strikes-back-train", "title": "[PyTorch] Sartorius: UNet Strikes Back [Train]🔥", "source": "live", "kernel_id": "22699257" }, { "ref": "qilongchen/unet-with-deep-watershed-transform-dwt-train", "title": "Unet with Deep watershed transform(DWT) [Train]", "source": "live", "kernel_id": "22672390" }, { "ref": "deeeeeeeplearning/fork-of-mmdetection-neuron-inference-dddf41", "title": "Fork of MMDetection Neuron Inference dddf41", "source": "live", "kernel_id": "22665830" }, { "ref": "mingxuanche/sartorius-cell-instance-segmentation-pyt-19d48f", "title": "Sartorius - Cell Instance Segmentation [pyt 19d48f", "source": "live", "kernel_id": "22660850" }, { "ref": "zouxinrui/sartorius-cell-instance-segmentation-pyt-19d48f", "title": "Sartorius - Cell Instance Segmentation [pyt 19d48f", "source": "live", "kernel_id": "22650585" }, { "ref": "ferlockx/best-transfer-100k", "title": "best_transfer_100k", "source": "live", "kernel_id": "22642938" }, { "ref": "ferlockx/validation-score-for-multiple-files", "title": "Validation Score for Multiple Files", "source": "live", "kernel_id": "22608896" }, { "ref": "noirchannel/unet-on-splitting-data", "title": "Unet on splitting data", "source": "live", "kernel_id": "22596822" }, { "ref": "vladimirsydor/mmdetection-neuron-inference", "title": "MMDetection Neuron Inference", "source": "live", "kernel_id": "22590510" }, { "ref": "orlevy11/orf-sartorius-seg", "title": "Orf - Sartorius Seg", "source": "live", "kernel_id": "22581644" }, { "ref": "zzhnku/mmdetection-neuron-inference-nms-improvement", "title": "MMDetection Neuron Inference NMS Improvement", "source": "live", "kernel_id": "22573553" }, { "ref": "adrynh/sartorius-training-data-image-manipulation", "title": "Sartorius- Training Data (Image) Manipulation", "source": "live", "kernel_id": "22567377" }, { "ref": "carlosgut/sartorius-complete-from-eda-to-submit-unet", "title": "Sartorius_complete_from_EDA_to_submit_UNET", "source": "live", "kernel_id": "22554047" }, { "ref": "mhmdsyed/image-processing-cell-instance", "title": "Image Processing | Cell Instance", "source": "live", "kernel_id": "22552286" }, { "ref": "dylanliuofficial/sartorius-segmentation-detectron2-diagnosis", "title": "Sartorius Segmentation - Detectron2 diagnosis", "source": "live", "kernel_id": "22550727" }, { "ref": "pauldark/sartorius-cell-segmentation-u-net-comb-loss", "title": "Sartorius-Cell-Segmentation [U-Net comb_loss]", "source": "live", "kernel_id": "22548090" }, { "ref": "slawekbiel/cellpose-inference-307-lb", "title": "Cellpose inference .307 LB", "source": "live", "kernel_id": "22536045" }, { "ref": "endrol/mask-rcnn", "title": "mask_rcnn", "source": "live", "kernel_id": "22526380" }, { "ref": "hengck23/coloring-network-for-instance-segmentation", "title": "Coloring network for instance segmentation", "source": "live", "kernel_id": "22521138" }, { "ref": "sentinel1/sartorius-torch-mask-r-cnn", "title": "🦠 Sartorius - Torch Mask R-CNN", "source": "live", "kernel_id": "22515202" }, { "ref": "drzhuzhe/map-iou-0-26-efficientnetv2-hacked-detectron2", "title": "【MAP IOU 0.26】EfficientnetV2 hacked Detectron2", "source": "live", "kernel_id": "22511712" }, { "ref": "jibgegege/seg-cell2", "title": "seg_cell2", "source": "live", "kernel_id": "22506948" }, { "ref": "harshwalia/sartorius-learn-implementation-guide-for-maskrcnn", "title": "Sartorius-Learn📚Implementation guide for MaskRCNN", "source": "live", "kernel_id": "22506516" }, { "ref": "markunys/sartorius-transfer-learning-train", "title": "Sartorius transfer learning [train]", "source": "live", "kernel_id": "22502215" }, { "ref": "markunys/sartorius-transfer-learning-inference", "title": "Sartorius transfer learning [inference]", "source": "live", "kernel_id": "22501915" }, { "ref": "markunys/sartorius-transfer-learning-train-with-livecell", "title": "Sartorius transfer learning [train with livecell]", "source": "live", "kernel_id": "22501011" }, { "ref": "trushk/mmdetection-custom-eval-script", "title": "MMDetection Custom Eval Script", "source": "live", "kernel_id": "22499647" }, { "ref": "hengck23/split-adjoining-cell-into-subsets-of-non-touching", "title": "Split adjoining cell into subsets of non-touching ", "source": "live", "kernel_id": "22498894" }, { "ref": "drzhuzhe/wip-pytorch-efficienetv2-fpn", "title": "[WIP]Pytorch EfficienetV2 + FPN", "source": "live", "kernel_id": "22488993" }, { "ref": "ethon543/sartorius-starter-torch-mask-r-cnn-lb-9af9e2", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB 9af9e2", "source": "live", "kernel_id": "22477268" }, { "ref": "minfa1207/segmentation-with-unet-training", "title": "🤖Segmentation with UNet🤖 (Training)", "source": "live", "kernel_id": "22464418" }, { "ref": "kirtankanani/notebookec5985f10c", "title": "notebookec5985f10c", "source": "live", "kernel_id": "22450737" }, { "ref": "jianghuayu/pytorch-mask-rcnn", "title": "pytorch_mask_rcnn", "source": "live", "kernel_id": "22448599" }, { "ref": "arunmohan003/inference-cell-segmentation", "title": "Inference-cell segmentation", "source": "live", "kernel_id": "22439732" }, { "ref": "jianghuayu/sartorius-starter-torch-mask-r-cnn-lb-841402", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB 841402", "source": "live", "kernel_id": "22429251" }, { "ref": "stpeteishii/instance-segmentation-fix-overlap-before-after", "title": "Instance Segmentation Fix_Overlap Before/After", "source": "live", "kernel_id": "22424742" }, { "ref": "ehan12/classifier", "title": "Classifier", "source": "live", "kernel_id": "22421349" }, { "ref": "ehan12/positive-score-with-detectron-2-3-training", "title": "Positive score with Detectron 2/3 - Training", "source": "live", "kernel_id": "22421147" }, { "ref": "superant/simple-nn-segmentation", "title": "Simple NN Segmentation", "source": "live", "kernel_id": "22413633" }, { "ref": "superant/cell-make-masks", "title": "Cell - Make masks", "source": "live", "kernel_id": "22412425" }, { "ref": "drzhuzhe/sartorius-kfold-coco", "title": "Sartorius KFold COCO", "source": "live", "kernel_id": "22403743" }, { "ref": "stpeteishii/cell-instance-segmentation-unet", "title": "Cell Instance Segmentation Unet", "source": "live", "kernel_id": "22396206" }, { "ref": "zouxinrui/datase-eda", "title": "Datase-EDA", "source": "live", "kernel_id": "22389299" }, { "ref": "kisakitetta/sartorius-kfold-coco", "title": "Sartorius KFold COCO", "source": "live", "kernel_id": "22368114" }, { "ref": "jyprojs/sartorius-torch-mask-r-cnn", "title": "🦠 Sartorius - Torch Mask R-CNN", "source": "live", "kernel_id": "22365137" }, { "ref": "ferlockx/sartorius-cell-segmentation-bronze-inference", "title": "Sartorius Cell Segmentation Bronze Inference", "source": "live", "kernel_id": "22358587" }, { "ref": "blankaf/sartorius-inference", "title": "Sartorius-inference", "source": "live", "kernel_id": "22333608" }, { "ref": "gengluoli/detectron2-inference-with-ensemble-and-nms-e9fd49", "title": "Detectron2: inference with ensemble and NMS e9fd49", "source": "live", "kernel_id": "22330225" }, { "ref": "ethon543/cell-types-classifier-swin", "title": "cell-types-classifier-Swin", "source": "live", "kernel_id": "22330194" }, { "ref": "ghadiyaayush/sartorius-segmentation-attention-unet-with-keras", "title": "Sartorius Segmentation-Attention_Unet with keras", "source": "live", "kernel_id": "22329729" }, { "ref": "ehabibrahim758/notebookec92170004", "title": "notebookec92170004", "source": "live", "kernel_id": "22329343" }, { "ref": "ebinan92/unet-with-deep-watershed-transform-dwt-infer", "title": "Unet with Deep watershed transform(DWT) [Infer]", "source": "live", "kernel_id": "22324821" }, { "ref": "wushaodong/sartorius-mmdet-train", "title": "sartorius_mmdet_train", "source": "live", "kernel_id": "22322293" }, { "ref": "rahulbhimani/model-for-tensorflow-competition-using-pytorch", "title": "model for tensorflow competition using pytorch", "source": "live", "kernel_id": "22307323" }, { "ref": "andreashorlbeck/sartorius-cell-type-image-classification-tf", "title": "Sartorius - Cell Type Image Classification - TF", "source": "live", "kernel_id": "22304047" }, { "ref": "carnozhao/cell-submission", "title": "cell_submission", "source": "live", "kernel_id": "22298557" }, { "ref": "ebinan92/unet-with-deep-watershed-transform-dwt-train", "title": "Unet with Deep watershed transform(DWT) [Train]", "source": "live", "kernel_id": "22294990" }, { "ref": "mistag/sartorius-tta-with-weighted-segments-fusion", "title": "💥 Sartorius: TTA with Weighted Segments Fusion", "source": "live", "kernel_id": "22273956" }, { "ref": "rednikotin/duplicates-sartorius", "title": "Duplicates Sartorius", "source": "live", "kernel_id": "22271179" }, { "ref": "myeongwonkim/mask-rcnn-training-using-detectron2", "title": "Mask RCNN training using detectron2", "source": "live", "kernel_id": "22270127" }, { "ref": "tiandaye/sartorius-inference", "title": "Sartorius Inference", "source": "live", "kernel_id": "22265464" }, { "ref": "tiandaye/sartorius-mask-rcnn-trian-eval-pytorch", "title": "Sartorius_Mask-RCNN_trian&eval_pytorch", "source": "live", "kernel_id": "22253282" }, { "ref": "fortelean/shsy5y-inference-just-for-visualization", "title": "shsy5y inference(just for visualization)", "source": "live", "kernel_id": "22252992" }, { "ref": "mingxuanche/sartorius-cell-instance-segmentation-pytorch", "title": "Sartorius - Cell Instance Segmentation [pytorch]", "source": "live", "kernel_id": "22248085" }, { "ref": "ren4yu/sartorius-automatically-finding-broken-masks", "title": "Sartorius - Automatically Finding Broken Masks", "source": "live", "kernel_id": "22241406" }, { "ref": "exiaoseiei/sartorius-cell", "title": "Sartorius_Cell", "source": "live", "kernel_id": "22238447" }, { "ref": "drzhuzhe/sartorius-eda", "title": "Sartorius EDA", "source": "live", "kernel_id": "22227263" }, { "ref": "tiandaye/infer-sartorius-maskrcnn-pytorch", "title": "infer_sartorius_maskrcnn_pytorch", "source": "live", "kernel_id": "22225092" }, { "ref": "b3d1rhan/sartorious", "title": "sartorious", "source": "live", "kernel_id": "22221706" }, { "ref": "denispotapov/cutmix-augmentation", "title": "Cutmix augmentation", "source": "live", "kernel_id": "22202606" }, { "ref": "aktaruzzaman/detectron2-inference-scis", "title": "Detectron2 _Inference_SCIS", "source": "live", "kernel_id": "22195508" }, { "ref": "krzysztofwolk/sartorius-segmentation-mask-rcnn-tf-train", "title": "Sartorius Segmentation - Mask RCNN TF [Train]", "source": "live", "kernel_id": "22190755" }, { "ref": "arunmohan003/eda-tf-unet-baseline-cell-instance-segmentation", "title": "EDA+Tf-unet-baseline-cell instance segmentation", "source": "live", "kernel_id": "22183107" }, { "ref": "simay24/notebook-satorius", "title": "notebook_satorius", "source": "live", "kernel_id": "22174017" }, { "ref": "vuvandinh/unet-train", "title": "[UNet] Train", "source": "live", "kernel_id": "22167965" }, { "ref": "markwijkhuizen/sartorius-mask-rcnn-efficientnetv2-train-2h", "title": "Sartorius MASK-RCNN EfficientNetV2 Train < 2H 🔥", "source": "live", "kernel_id": "22166633" }, { "ref": "markwijkhuizen/sartorius-mask-rcnn-efficientnetv2-inference", "title": "Sartorius MASK-RCNN EfficientNetV2 Inference", "source": "live", "kernel_id": "22166632" }, { "ref": "pasanjayaweera/cell-segmentation-unet-tensorflow-simplified", "title": "Cell Segmentation - Unet - Tensorflow - Simplified", "source": "live", "kernel_id": "22166038" }, { "ref": "robertlangdonvinci/fastai-sartorius-cell-end-to-end-solution-hatke", "title": "Fastai-sartorius-cell-end-to-end-solution-hatke", "source": "live", "kernel_id": "22139430" }, { "ref": "ammarnassanalhajali/ensemble-non-maximum-supp-detectron2-inference", "title": "Ensemble Non-Maximum Supp - Detectron2 [Inference]", "source": "live", "kernel_id": "22135899" }, { "ref": "muhammadammarjamshed/celllysis", "title": "Celllysis", "source": "live", "kernel_id": "22133178" }, { "ref": "vishalsharma1996/inference-mask-rcnn", "title": "Inference_mask_rcnn", "source": "live", "kernel_id": "22128036" }, { "ref": "mariapodguzova/semantic-segmentation", "title": "Semantic-segmentation", "source": "live", "kernel_id": "22121532" }, { "ref": "apparition/train-of-torch-mask-rcnn-square-augs", "title": "Train of torch Mask RCNN square AUGs", "source": "live", "kernel_id": "22112613" }, { "ref": "vsedelnik/order-of-instances-in-metric-submission", "title": "Order of instances in metric / submission", "source": "live", "kernel_id": "22108519" }, { "ref": "shenjinhuang/mm-inference-self", "title": "mm-inference-self", "source": "live", "kernel_id": "22086288" }, { "ref": "slawekbiel/broken-mask-example", "title": "Broken mask example", "source": "live", "kernel_id": "22085492" }, { "ref": "kevin1742064161/create-singleclass-coco-stratifiedgroupkfold", "title": "create_singleclass_COCO&StratifiedGroupKFold", "source": "live", "kernel_id": "22055699" }, { "ref": "mohamedbakrey/using-u-net-for-sartorius-segmentation", "title": "Using U-Net for Sartorius Segmentation", "source": "live", "kernel_id": "22049050" }, { "ref": "monikabozhinova/livecell-shsy5y-coco-dataset", "title": "LiveCell shsy5y COCO Dataset", "source": "live", "kernel_id": "22045717" }, { "ref": "anastasiiaselezen/updated-cell-instance-segmentation-pytorch", "title": "Updated - Cell Instance Segmentation [pytorch]", "source": "live", "kernel_id": "22041480" }, { "ref": "hsadeghian/sartorius-detectron-training-w-b", "title": "Sartorius Detectron - Training + W&B", "source": "live", "kernel_id": "22037112" }, { "ref": "junhyeok99/256x-tfrecords-with-stratifiedkfold", "title": "256x TFRecords with StratifiedKFold", "source": "live", "kernel_id": "22001460" }, { "ref": "coldfir3/cell-type-classification-w-fastai", "title": "Cell Type Classification w/FastAI", "source": "live", "kernel_id": "21989413" }, { "ref": "sifatshikdar/run-length-decoding-the-masks", "title": "Run Length Decoding The Masks", "source": "live", "kernel_id": "21978570" }, { "ref": "jaideepvalani/cv-strategy-stratified-by-masks-sum", "title": "CV Strategy Stratified By Masks Sum", "source": "live", "kernel_id": "21965415" }, { "ref": "yoshikuwano/classified-by-cell-types-before-segmentation-2-2", "title": "Classified by cell types before segmentation? 2/2", "source": "live", "kernel_id": "21956423" }, { "ref": "stpeteishii/run-length-encoding-annotation-data-to-mask-image", "title": "Run Length Encoding: Annotation Data to Mask Image", "source": "live", "kernel_id": "21955475" }, { "ref": "vishalsharma1996/mask-rcnn-training-tf", "title": "MASK_RCNN_TRAINING_TF", "source": "live", "kernel_id": "21953505" }, { "ref": "rhythmcam/numpy-basic-split-reshape", "title": "[numpy Basic]split reshape", "source": "live", "kernel_id": "21950098" }, { "ref": "slavkoprytula/robust-augmentation-for-mask-rcnn", "title": "✔️ Robust Augmentation for Mask RCNN", "source": "live", "kernel_id": "21943013" }, { "ref": "tangjq/detectron-1-3-input-data", "title": "Detectron 1/3 - input data", "source": "live", "kernel_id": "21936206" }, { "ref": "tangjq/detectron-2-3-training", "title": "Detectron 2/3 - Training", "source": "live", "kernel_id": "21936190" }, { "ref": "tangjq/detectron-3-3-inferen", "title": "Detectron 3/3 - Inferen", "source": "live", "kernel_id": "21936150" }, { "ref": "slavkoprytula/mask-correction-mask-filtering-updated", "title": "✔️ Mask Correction | Mask Filtering | [Updated]", "source": "live", "kernel_id": "21932491" }, { "ref": "ammarnassanalhajali/k-fold-crossvalidation-coco-dataset-generator", "title": "K-fold CrossValidation COCO Dataset Generator ", "source": "live", "kernel_id": "21931500" }, { "ref": "ivoflorinscheiber/unetfromscratch-mypostpro", "title": "UnetFromScratch + myPostPro", "source": "live", "kernel_id": "21930181" }, { "ref": "yoshikuwano/classified-by-cell-types-before-segmentation-1-2", "title": "Classified by cell types before segmentation? 1/2", "source": "live", "kernel_id": "21926899" }, { "ref": "francescvivpascual/livecelldataset-loading", "title": "LiveCellDataset Loading", "source": "live", "kernel_id": "21916975" }, { "ref": "vgarshin/detectron2-inference-with-ensemble-and-nms", "title": "Detectron2: inference with ensemble and NMS", "source": "live", "kernel_id": "21896926" }, { "ref": "nadirhanahin/sartorius-cell-instance-segmentation", "title": "Sartorius - Cell Instance Segmentation", "source": "live", "kernel_id": "21870941" }, { "ref": "awsaf49/pytorch-sartorius-unet-strikes-back-infer", "title": "[PyTorch] Sartorius: UNet Strikes Back [Infer]🔥", "source": "live", "kernel_id": "21859706" }, { "ref": "aramos/sartorius-training-segmentationmodels-library", "title": "Sartorius Training SegmentationModels Library", "source": "live", "kernel_id": "21855765" }, { "ref": "aiheling/sartorius-unet-pytorch-from-scratch", "title": "Sartorius - Unet PyTorch from Scratch 🦠 ", "source": "live", "kernel_id": "21850531" }, { "ref": "kurokia/semantic-segmentation-by-pspnet-infer", "title": "Semantic segmentation by PSPNet [infer]", "source": "live", "kernel_id": "21848005" }, { "ref": "kurokia/semantic-segmentation-by-pspnet-train", "title": "Semantic segmentation by PSPNet [Train]", "source": "live", "kernel_id": "21845326" }, { "ref": "yoshimoto0921/sartorius-starter-torch-mask-r-cnn", "title": "🦠 Sartorius - Starter Torch Mask R-CNN", "source": "live", "kernel_id": "21843499" }, { "ref": "qq1623620766/asdef45236747632", "title": "asdef45236747632", "source": "live", "kernel_id": "21838264" }, { "ref": "awsaf49/pytorch-sartorius-unet-strikes-back-train", "title": "[PyTorch] Sartorius: UNet Strikes Back [Train]🔥", "source": "live", "kernel_id": "21831349" }, { "ref": "drtausamaru/efnetb0-unet-inference", "title": "efnetb0-unet-inference", "source": "live", "kernel_id": "21829609" }, { "ref": "ppjanka/2021-sartorius-neuronsegmentation", "title": "2021_Sartorius_NeuronSegmentation", "source": "live", "kernel_id": "21825434" }, { "ref": "mistag/sartorius-cell-shape-analysis", "title": "Sartorius: Cell shape analysis", "source": "live", "kernel_id": "21823805" }, { "ref": "karan23258/cell-instance-segmentation-unetfromscratch", "title": "Cell Instance Segmentation - UnetFromScratch", "source": "live", "kernel_id": "21820817" }, { "ref": "kontoudi/reproducing-sartorius-results-on-centermask2", "title": "Reproducing Sartorius results on CenterMask2", "source": "live", "kernel_id": "21814863" }, { "ref": "kriyeng/evaluate-26-pretrained-models-to-split-the-problem", "title": "Evaluate 26 pretrained models to split the problem", "source": "live", "kernel_id": "21814792" }, { "ref": "huchlatymon/tf-deep-residual-unet-with-attention-train", "title": "[TF] Deep Residual UNet with Attention 🤖 [Train] ", "source": "live", "kernel_id": "21813024" }, { "ref": "timmate/train-sartorius-segmentation-just-plotting", "title": "[TRAIN] Sartorius Segmentation [JUST PLOTTING]", "source": "live", "kernel_id": "21812702" }, { "ref": "domizianostingi/plot-image-with-cells", "title": "PLOT IMAGE WITH CELLS", "source": "live", "kernel_id": "21811999" }, { "ref": "mmattson/first-glance-at-data", "title": "First glance at data", "source": "live", "kernel_id": "21793543" }, { "ref": "mistag/detectron2-download-code-for-offline-install-ii", "title": "Detectron2: Download code for offline install II", "source": "live", "kernel_id": "21792240" }, { "ref": "slawekbiel/validation-score-example", "title": "Validation score example", "source": "live", "kernel_id": "21792204" }, { "ref": "zekun98/sartorius-torch-mask-r-cnn-more", "title": "🦠 Sartorius - Torch Mask R-CNN more", "source": "live", "kernel_id": "21785669" }, { "ref": "tolgadincer/sartorius-eda-general-overview-and-outliers", "title": "Sartorius EDA - General Overview and Outliers", "source": "live", "kernel_id": "21772103" }, { "ref": "npitsillos/mask-rcnn-w-resnetv2-50-train", "title": "Mask RCNN w/ ResnetV2_50 [Train]", "source": "live", "kernel_id": "21770516" }, { "ref": "evangelou/sartorius-unet-pytorch-from-scratch", "title": "Sartorius - Unet PyTorch from Scratch 🦠 ", "source": "live", "kernel_id": "21766321" }, { "ref": "coldfir3/efficient-coco-dataset-generator", "title": "Efficient COCO Dataset Generator", "source": "live", "kernel_id": "21763370" }, { "ref": "yvtsanlevy/data-overview", "title": "Data overview", "source": "live", "kernel_id": "21758898" }, { "ref": "yoshikuwano/sartorius-tf-predict-tfrecords", "title": "[Sartorius] TF predict tfrecords", "source": "live", "kernel_id": "21755356" }, { "ref": "zekun98/sartorius-torch-mask-r-cnn", "title": "🦠 Sartorius - Torch Mask R-CNN", "source": "live", "kernel_id": "21754582" }, { "ref": "qq1623620766/sartorius-torch-mask-r-cnn", "title": "🦠 Sartorius - Torch Mask R-CNN", "source": "live", "kernel_id": "21749941" }, { "ref": "yoshikuwano/sartorius-tf-train-tfrecords", "title": "[Sartorius] TF train tfrecords", "source": "live", "kernel_id": "21748445" }, { "ref": "qq1623620766/sartorius-mmdetection-infer", "title": "Sartorius: MMDetection [Infer]", "source": "live", "kernel_id": "21732068" }, { "ref": "zekunn/sartorius-mmdetection-infer-why-i-get-zero", "title": "Sartorius: MMDetection [Infer]-Why I get Zero?", "source": "live", "kernel_id": "21713140" }, { "ref": "wsmonroe/load-and-vis-sartorious-livecell-data", "title": "Load and Vis Sartorious & LiveCell data", "source": "live", "kernel_id": "21690681" }, { "ref": "ishandutta/sartorius-complete-unet-understanding", "title": "🔬Sartorius🔬: Complete UNet Understanding", "source": "live", "kernel_id": "21687419" }, { "ref": "qq1623620766/positive-score-with-detectron-3-3-infere", "title": "Positive score with Detectron 3/3 - Infere", "source": "live", "kernel_id": "21684943" }, { "ref": "zekunn/positive-score-with-detectron-3-3-inferen-class", "title": "Positive score with Detectron 3/3 - Inferen class", "source": "live", "kernel_id": "21682605" }, { "ref": "linrds/convert-rle-to-polygons", "title": "Convert RLE to Polygons", "source": "live", "kernel_id": "21681582" }, { "ref": "qq1623620766/positive-score-with-detectron-3-3-inferen-5a2cd8", "title": "Positive score with Detectron 3/3 - Inferen 5a2cd8", "source": "live", "kernel_id": "21678457" }, { "ref": "konradb/validate-submit", "title": "validate_submit", "source": "live", "kernel_id": "21671692" }, { "ref": "stpeteishii/cell-instance-visualize-annotation", "title": "Cell Instance Visualize Annotation", "source": "live", "kernel_id": "21662560" }, { "ref": "kavehshahhosseini/sartorius-convert-images-and-masks-to-tfrecord", "title": "Sartorius - Convert Images and Masks to TFRecord", "source": "live", "kernel_id": "21661455" }, { "ref": "slavkoprytula/efficientnet-classification-semi-supervised", "title": "Efficientnet Classification | Semi-supervised", "source": "live", "kernel_id": "21647323" }, { "ref": "stpeteishii/cell-instance-classify-densenet201", "title": "Cell Instance Classify DenseNet201", "source": "live", "kernel_id": "21643578" }, { "ref": "dylandehili/sartorus-1-trecord-dcnn", "title": "[Sartorus] [1] Trecord/DCNN", "source": "live", "kernel_id": "21616568" }, { "ref": "gunesevitan/sartorius-cell-instance-segmentation-inference", "title": "Sartorius Cell Instance Segmentation - Inference", "source": "live", "kernel_id": "21613426" }, { "ref": "qq1623620766/sartorius-starter-torch-mask-r-cnn-lb-0-273", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]", "source": "live", "kernel_id": "21607546" }, { "ref": "abhishandy/visualizing-annotations", "title": "Visualizing annotations", "source": "live", "kernel_id": "21604692" }, { "ref": "soumya9977/residual-unet-with-attention-eda-tta-w-b", "title": "Residual Unet with Attention+ EDA +TTA + W&B🧬", "source": "live", "kernel_id": "21597018" }, { "ref": "zaopolearning/maskrcnn-basemodel", "title": "maskrcnn basemodel", "source": "live", "kernel_id": "21578810" }, { "ref": "shivansh002/getting-started", "title": "✨ Getting started!", "source": "live", "kernel_id": "21568946" }, { "ref": "mohamedbakrey/using-segmentation-for-sci-and-using-unet", "title": "Using Segmentation FOR SCI AND USING UNeT", "source": "live", "kernel_id": "21568044" }, { "ref": "aramos/sartorius-competition-training-keras-unet", "title": "Sartorius Competition Training Keras UNet", "source": "live", "kernel_id": "21540706" }, { "ref": "ctawong/cell-instance-segmentation-detectron2-mask-rcnn", "title": "cell instance segmentation detectron2 mask-rcnn", "source": "live", "kernel_id": "21533863" }, { "ref": "profahmadhussein2010/positive-score-with-detectron-3-3-inference", "title": "Positive score with Detectron 3/3 - Inference", "source": "live", "kernel_id": "21526273" }, { "ref": "rijuvaish/cell-segmentation-starter", "title": "Cell Segmentation Starter", "source": "live", "kernel_id": "21494364" }, { "ref": "xinruizhan/save-seg-image", "title": "save seg image", "source": "live", "kernel_id": "21479895" }, { "ref": "julian3833/sartorius-classifier-mask-r-cnn-lb-0-28", "title": "🦠 Sartorius - Classifier + Mask R-CNN [LB=0.28]", "source": "live", "kernel_id": "21461715" }, { "ref": "cuimdi/fork-of-positive-score-with-detectron-3-3-infere", "title": "Fork of Positive score with Detectron 3/3 - Infere", "source": "live", "kernel_id": "21461592" }, { "ref": "tankmitesh/data-overview", "title": "Data Overview", "source": "live", "kernel_id": "21453923" }, { "ref": "rluethy/sartorius-torch-mask-r-cnn", "title": "🦠 Sartorius - Torch Mask R-CNN", "source": "live", "kernel_id": "21452542" }, { "ref": "soumya9977/sartorious-nb-1-data-preprocessing-visualization", "title": "Sartorious NB-1 Data Preprocessing & Visualization", "source": "live", "kernel_id": "21449497" }, { "ref": "vexxingbanana/mmdetection-neuron-inference", "title": "MMDetection Neuron Inference", "source": "live", "kernel_id": "21448110" }, { "ref": "ferrariic/cell-image-segmentation", "title": "cell-image-segmentation", "source": "live", "kernel_id": "21441140" }, { "ref": "frozenwolf/sartorius-visualization-training-u-net", "title": "🦠 Sartorius : Visualization + Training U-Net", "source": "live", "kernel_id": "21431106" }, { "ref": "susnato/sartorius-segmentation-mask-rcnn-tf-inference", "title": "Sartorius Segmentation - Mask RCNN TF [Inference]", "source": "live", "kernel_id": "21426231" }, { "ref": "valeriawillam/sartorius-segmentation-detectron2-inference", "title": "Sartorius Segmentation - Detectron2 [Inference]", "source": "live", "kernel_id": "21423199" }, { "ref": "frozenwolf/sartorius-visualization-training-maskr-cnn", "title": "🧬 Sartorius : Visualization + Training MaskR-CNN", "source": "live", "kernel_id": "21419994" }, { "ref": "emirhanai/cell-instance-segmentation-deep-learning-project", "title": "Cell_Instance_Segmentation_Deep_Learning_Project", "source": "live", "kernel_id": "21411104" }, { "ref": "mistag/pred-sartorius-detectron2-centermask2", "title": "[pred] Sartorius Detectron2+CenterMask2", "source": "live", "kernel_id": "21407711" }, { "ref": "susnato/sartorius-segmentation-mask-rcnn-tf-train", "title": "Sartorius Segmentation - Mask RCNN TF [Train]", "source": "live", "kernel_id": "21404672" }, { "ref": "ammarnassanalhajali/sartorius-segmentation-detectron2-inference", "title": "Sartorius Segmentation - Detectron2 [Inference]", "source": "live", "kernel_id": "21394863" }, { "ref": "mahmudds/sartorius-cell-instance-segmentation", "title": "Sartorius - Cell Instance Segmentation", "source": "live", "kernel_id": "21391736" }, { "ref": "arminajdehnia/annotate-cell-instance-segmentaion", "title": "Annotate Cell Instance Segmentaion", "source": "live", "kernel_id": "21390427" }, { "ref": "dragonzhang/positive-score-with-detectron-3-3-inference", "title": "Positive score with Detectron 3/3 - Inference", "source": "live", "kernel_id": "21387723" }, { "ref": "carnozhao/cell-submission-ensemble", "title": "cell_submission_ensemble", "source": "live", "kernel_id": "21386914" }, { "ref": "npitsillos/unet-efficientnet-b0-train", "title": "UNET-EfficientNet-B0 [Train]", "source": "live", "kernel_id": "21382587" }, { "ref": "jirkaborovec/cell-instance-segm-lightning-flash", "title": "🦠Cell Instance Segm. ~ Lightning⚡Flash", "source": "live", "kernel_id": "21382348" }, { "ref": "mistag/train-sartorius-detectron2-centermask2", "title": "[train] Sartorius: Detectron2 + CenterMask2 ", "source": "live", "kernel_id": "21381909" }, { "ref": "evancofsky/sartorius-torch-lightning-mask-r-cnn", "title": "🦠 Sartorius - Torch Lightning Mask R-CNN", "source": "live", "kernel_id": "21381446" }, { "ref": "mistag/detectron2-download-code-for-offline-installation", "title": "Detectron2: Download code for offline installation", "source": "live", "kernel_id": "21379549" }, { "ref": "slawekbiel/positive-score-with-detectron-2-3-training", "title": "Positive score with Detectron 2/3 - Training", "source": "live", "kernel_id": "21376425" }, { "ref": "slawekbiel/positive-score-with-detectron-1-3-input-data", "title": "Positive score with Detectron 1/3 - input data", "source": "live", "kernel_id": "21375723" }, { "ref": "theoviel/competition-metric-map-iou", "title": "Competition Metric : mAP IoU", "source": "live", "kernel_id": "21372155" }, { "ref": "awsaf49/sartorius-fix-overlap", "title": "Sartorius: Fix Overlap", "source": "live", "kernel_id": "21369962" }, { "ref": "nullyousee/data-view", "title": "data_view", "source": "live", "kernel_id": "21364285" }, { "ref": "julian3833/sartorius-3-line-overlap-removing-function", "title": "🦠 Sartorius - 3-line overlap-removing function", "source": "live", "kernel_id": "21356051" }, { "ref": "slawekbiel/positive-score-with-detectron-3-3-inference", "title": "Positive score with Detectron 3/3 - Inference", "source": "live", "kernel_id": "21354883" }, { "ref": "mistag/sartorius-create-coco-annotations", "title": "Sartorius: Create COCO annotations", "source": "live", "kernel_id": "21354065" }, { "ref": "kfk42kfk/train-sartorius-fpn-effnetb3-ns-baseline", "title": "[TRAIN] Sartorius FPN+EffnetB3 NS / Baseline", "source": "live", "kernel_id": "21353305" }, { "ref": "julian3833/sartorius-starter-torch-mask-r-cnn-lb-0-273", "title": "🦠 Sartorius - Starter Torch Mask R-CNN [LB=0.273]", "source": "live", "kernel_id": "21348305" }, { "ref": "junglecat2021/create-coco-dataset", "title": "create coco dataset", "source": "live", "kernel_id": "21333589" }, { "ref": "julian3833/sartorius-resnet34-classifier", "title": "🦠 Sartorius - Resnet34 Classifier", "source": "live", "kernel_id": "21329526" }, { "ref": "sudipg411/eda-visualisation-efficientnetb7", "title": "EDA+ Visualisation + EfficientNetB7", "source": "live", "kernel_id": "21327815" }, { "ref": "markwijkhuizen/sartorius-training-upsampling-tf-public", "title": "Sartorius Training Upsampling TF Public", "source": "live", "kernel_id": "21326884" }, { "ref": "markwijkhuizen/sartorius-preprocessing-kfolds-public", "title": "Sartorius Preprocessing KFolds Public", "source": "live", "kernel_id": "21326764" }, { "ref": "awsaf49/sartorius-mmdetection-infer", "title": "Sartorius: MMDetection [Infer]", "source": "live", "kernel_id": "21326606" }, { "ref": "awsaf49/sartorius-mmdetection-train", "title": "Sartorius: MMDetection [Train]", "source": "live", "kernel_id": "21324123" }, { "ref": "ayuraj/sartorius-instance-mask-viz-with-w-b", "title": "Sartorius: Instance Mask Viz with W&B", "source": "live", "kernel_id": "21323106" }, { "ref": "ishandutta/sartorius-indepth-eda-explanation-model", "title": "🧬Sartorius:🧬 InDepth EDA + Explanation + Model", "source": "live", "kernel_id": "21319976" }, { "ref": "namgalielei/which-reshape-is-used-in-rle", "title": "Which reshape is used in RLE?", "source": "live", "kernel_id": "21309933" }, { "ref": "vexxingbanana/sartorius-coco-dataset-notebook", "title": "Sartorius COCO Dataset Notebook", "source": "live", "kernel_id": "21300841" }, { "ref": "amritpal333/choosing-augmentations-for-cell-segmentation", "title": "Choosing Augmentations for 🦠 Cell segmentation 🦠", "source": "live", "kernel_id": "21298598" }, { "ref": "robertlangdonvinci/sartorius-cell-segmentation-data-gen", "title": " Sartorius_Cell_Segmentation_data_gen", "source": "live", "kernel_id": "21293739" }, { "ref": "theudas/dataloader-starter-fit-all-masks-into-memory", "title": "⚡ Dataloader Starter: Fit all masks into memory 💾", "source": "live", "kernel_id": "21291427" }, { "ref": "julian3833/sartorius-starter-baseline-torch-u-net-0-0", "title": "🦠 Sartorius - Starter Baseline Torch U-net [>0.0]", "source": "live", "kernel_id": "21287433" }, { "ref": "ammarnassanalhajali/sartorius-segmentation-detectron2-training", "title": "Sartorius Segmentation - Detectron2 [Training]", "source": "live", "kernel_id": "21286985" }, { "ref": "tensorchoko/sartorius-cell-eda-for-beginner-jp-en", "title": "⬛Sartorius - Cell EDA for Beginner(JP/EN）", "source": "live", "kernel_id": "21285308" }, { "ref": "arunamenon/cell-instance-segmentation-only-inference", "title": "Cell Instance Segmentation - Only Inference", "source": "live", "kernel_id": "21284786" }, { "ref": "arunamenon/cell-instance-segmentation-unet-eda", "title": "Cell Instance Segmentation - Unet + EDA", "source": "live", "kernel_id": "21282326" }, { "ref": "susnato/understanding-run-length-encoding-and-decoding", "title": "Understanding Run Length Encoding and Decoding", "source": "live", "kernel_id": "21280763" }, { "ref": "hiroshisakiyama/yet-another-data-exploration", "title": "Yet Another Data Exploration", "source": "live", "kernel_id": "21279867" }, { "ref": "mistag/sartorius-create-tpu-compatible-tf-dataset", "title": "Sartorius: Create TPU Compatible TF Dataset", "source": "live", "kernel_id": "21276968" }, { "ref": "jirkaborovec/cell-instance-segm-eda-interactive-browsing", "title": "🦠Cell Instance Segm: EDA 🔍 interactive browsing", "source": "live", "kernel_id": "21276408" }, { "ref": "bhargav6031/run-length-decoding-function-beginners", "title": "Run length decoding function :Beginners", "source": "live", "kernel_id": "21275903" }, { "ref": "hamditarek/sartorius-cell-instance-segmentation-detectron2", "title": "Sartorius - Cell Instance Segmentation Detectron2", "source": "live", "kernel_id": "21275031" }, { "ref": "mistag/sartorius-create-mask-dataset", "title": "Sartorius: Create Mask Dataset", "source": "live", "kernel_id": "21273027" }, { "ref": "barteksadlej123/sartors-tf-starter", "title": "Sartors TF starter", "source": "live", "kernel_id": "21272969" }, { "ref": "nxhong93/sartorius-cell-eda", "title": "sartorius_cell_eda", "source": "live", "kernel_id": "21270989" }, { "ref": "bibhash123/cis-a-glance-at-the-data", "title": "CIS: A Glance at the Data🔍", "source": "live", "kernel_id": "21269056" }, { "ref": "ammarnassanalhajali/sartorius-segmentation-keras-u-net-inference", "title": "Sartorius Segmentation - Keras U-Net[Inference]", "source": "live", "kernel_id": "21268757" }, { "ref": "sohom17dey/sartorius-convert-rle-to-mask", "title": "Sartorius - Convert RLE to Mask", "source": "live", "kernel_id": "21268637" }, { "ref": "vexxingbanana/sartorius-mmdetection-training", "title": "Sartorius - MMDetection Training", "source": "live", "kernel_id": "21263191" }, { "ref": "craigwickizer/sartorius-generate-masks-as-npy", "title": "Sartorius | Generate Masks as .npy", "source": "live", "kernel_id": "21262703" }, { "ref": "dschettler8845/open-npz", "title": "open_npz", "source": "live", "kernel_id": "21262653" }, { "ref": "gunesevitan/sartorius-cell-instance-segmentation-eda", "title": "Sartorius Cell Instance Segmentation - EDA", "source": "live", "kernel_id": "21257659" }, { "ref": "jirkaborovec/cell-instance-segm-pt-lightning", "title": "🦠Cell Instance Segm. ~ PT⚡Lightning", "source": "live", "kernel_id": "21256185" }, { "ref": "ammarnassanalhajali/sartorius-segmentation-keras-u-net-training", "title": "Sartorius Segmentation - Keras U-Net [Training]", "source": "live", "kernel_id": "21255668" }, { "ref": "anubhav1302/cell-segmentation-eda", "title": "Cell_Segmentation_EDA", "source": "live", "kernel_id": "21250742" }, { "ref": "saraswatitiwari/sartorius-cell-instance-segmentation", "title": "Sartorius - Cell Instance Segmentation", "source": "live", "kernel_id": "21247426" }, { "ref": "kaitohonda/beginner-starter", "title": "Beginner_Starter", "source": "live", "kernel_id": "21243712" }, { "ref": "dschettler8845/sartorius-segmentation-mask-dataset", "title": "Sartorius Segmentation - Mask Dataset", "source": "live", "kernel_id": "21242784" }, { "ref": "dschettler8845/train-sartorius-segmentation-eda-effdet-tf", "title": "[TRAIN] Sartorius Segmentation 🧬 EDA+EffDET [TF]", "source": "live", "kernel_id": "21241846" }, { "ref": "ihelon/cell-segmentation-run-length-decoding", "title": "🦠Cell Segmentation🦠 - Run Length Decoding", "source": "live", "kernel_id": "21241763" }, { "ref": "drcapa/sartorius-starter", "title": "Sartorius_Starter", "source": "live", "kernel_id": "21241490" }, { "ref": "alibaba19/sartorius-segmentation-fastai-starter", "title": "Sartorius Segmentation - Fastai starter", "source": "live", "kernel_id": "21241206" }, { "ref": "ipythonx/tf-hybrid-efficientnet-swin-transformer-gradcam", "title": "", "source": "meta", "kernel_id": "21320383" }, { "ref": "fergusfindley/tpsjan22-eda-baseline-train-submission", "title": "", "source": "meta", "kernel_id": "23469003" }, { "ref": "awsaf49/uwmgi-unet-infer-pytorch", "title": "", "source": "meta", "kernel_id": "26408762" }, { "ref": "vexxingbanana/uavvaste-training", "title": "", "source": "meta", "kernel_id": "35866441" }, { "ref": "uroosehar/residual-unet-with-attention-eda-tta-w-b", "title": "", "source": "meta", "kernel_id": "36143871" }, { "ref": "thusharanair/instance-segmentation-maskrcnn-efficientnetv2-b0", "title": "", "source": "meta", "kernel_id": "41909796" }, { "ref": "ba1ddi/fucking-train", "title": "", "source": "meta", "kernel_id": "52896031" }, { "ref": "liuweiq/coincide-separation-detectron2-maskrcnn", "title": "", "source": "meta", "kernel_id": "62121253" }, { "ref": "cactussilver/mask-r-cnn-lb-0-273", "title": "", "source": "meta", "kernel_id": "74807408" }, { "ref": "kimkiyeont/sartorius-cell-instance-segmentation-maskdino", "title": "", "source": "meta", "kernel_id": "134730293" }, { "ref": "kimkiyeont/sartorius-cell-instance-segmentation", "title": "", "source": "meta", "kernel_id": "135639097" } ], "errors": [] }