{
  "id": 113885,
  "title": "External Data Disclosure Thread",
  "url": "/competitions/pku-autonomous-driving/discussion/113885",
  "author_name": "Addison Howard",
  "post_date": "2019-10-22T20:03:27.349000",
  "votes": 10,
  "comment_count": 50,
  "views": 0,
  "content": "<p>Post links to your external data sources here before the deadline specified in the rules. Once it has been posted, you do not need to post it again.</p>",
  "messages": [
    {
      "id": 655209,
      "postDate": "2019-10-22T20:03:27.350Z",
      "content": "<p>Post links to your external data sources here before the deadline specified in the rules. Once it has been posted, you do not need to post it again.</p>",
      "rawMarkdown": "Post links to your external data sources here before the deadline specified in the rules. Once it has been posted, you do not need to post it again.",
      "votes": 10
    },
    {
      "id": 671686,
      "postDate": "2019-11-13T03:42:46.660Z",
      "content": "<p>Is it ok to use the Lyft Dataset? <a href=\"https://level5.lyft.com/dataset/#data-collection\">https://level5.lyft.com/dataset/#data-collection</a> <a href=\"https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/data\">https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/data</a></p>",
      "rawMarkdown": "Is it ok to use the Lyft Dataset? https://level5.lyft.com/dataset/#data-collection https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/data",
      "votes": 4
    },
    {
      "id": 710173,
      "postDate": "2020-01-04T12:03:40.743Z",
      "content": "<p>detectron2: <a href=\"https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md</a>\nbdd100k dataset: <a href=\"https://bdd-data.berkeley.edu\">https://bdd-data.berkeley.edu</a>\nboxy vehicle dataset: <a href=\"https://boxy-dataset.com/boxy\">https://boxy-dataset.com/boxy</a></p>",
      "rawMarkdown": "detectron2: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\nbdd100k dataset: https://bdd-data.berkeley.edu\nboxy vehicle dataset: https://boxy-dataset.com/boxy",
      "votes": 1
    },
    {
      "id": 697524,
      "postDate": "2019-12-18T03:19:25.983Z",
      "content": "<p>keras  centernet with pretrained:\n<a href=\"https://github.com/see--/keras-centernet\">https://github.com/see--/keras-centernet</a></p>\n\n<p>keras application:\n<a href=\"https://github.com/keras-team/keras-applications\">https://github.com/keras-team/keras-applications</a></p>",
      "rawMarkdown": "keras  centernet with pretrained:\nhttps://github.com/see--/keras-centernet\n\nkeras application:\nhttps://github.com/keras-team/keras-applications",
      "votes": 1
    },
    {
      "id": 696952,
      "postDate": "2019-12-17T09:33:03.900Z",
      "content": "<p>I am going to generate additional training data using <a href=\"http://carla.org/\">http://carla.org/</a></p>",
      "rawMarkdown": "I am going to generate additional training data using http://carla.org/",
      "votes": 1
    },
    {
      "id": 718511,
      "postDate": "2020-01-14T13:38:25.863Z",
      "content": "<p>pretrained models:\n<a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a>\n<a href=\"https://github.com/Cadene/pretrained-models.pytorch\">https://github.com/Cadene/pretrained-models.pytorch</a></p>",
      "rawMarkdown": "pretrained models:\nhttps://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\nhttps://github.com/Cadene/pretrained-models.pytorch",
      "votes": 2
    },
    {
      "id": 697348,
      "postDate": "2019-12-17T19:12:06.383Z",
      "content": "<p>All data available at <a href=\"http://apolloscape.auto/\">http://apolloscape.auto/</a></p>",
      "rawMarkdown": "All data available at http://apolloscape.auto/",
      "votes": 2,
      "replies": [
        {
          "id": 698634,
          "postDate": "2019-12-19T13:50:18.150Z",
          "content": "<p>Have you successfully used this dataset??</p>",
          "rawMarkdown": "Have you successfully used this dataset??"
        },
        {
          "id": 699182,
          "postDate": "2019-12-20T06:08:52.573Z",
          "content": "<p>Not really, but i'd like to have the option</p>",
          "rawMarkdown": "Not really, but i'd like to have the option",
          "votes": 1
        },
        {
          "id": 699764,
          "postDate": "2019-12-20T21:38:30.540Z",
          "content": "<p>I got it, thanks!</p>",
          "rawMarkdown": "I got it, thanks!"
        },
        {
          "id": 711234,
          "postDate": "2020-01-05T20:28:52.810Z",
          "rawMarkdown": "",
          "votes": 3,
          "isDeleted": true
        },
        {
          "id": 711248,
          "postDate": "2020-01-05T20:54:36.803Z",
          "content": "<p>I experienced the same, it might have to do with the fact that description with euler angles is not unique\nStill trying to really make use of the set ... and any other public set.</p>",
          "rawMarkdown": "I experienced the same, it might have to do with the fact that description with euler angles is not unique\nStill trying to really make use of the set ... and any other public set."
        },
        {
          "id": 711965,
          "postDate": "2020-01-06T17:55:43.843Z",
          "rawMarkdown": "",
          "isDeleted": true
        }
      ]
    },
    {
      "id": 724173,
      "postDate": "2020-01-20T21:41:01.933Z",
      "content": "<p>pretrained efficient pytorch:\n<a href=\"https://pypi.org/project/efficientnet-pytorch/\">https://pypi.org/project/efficientnet-pytorch/</a></p>",
      "rawMarkdown": "pretrained efficient pytorch:\nhttps://pypi.org/project/efficientnet-pytorch/"
    },
    {
      "id": 722397,
      "postDate": "2020-01-18T14:16:18.933Z",
      "content": "<p>Pretrained models\n<a href=\"https://github.com/nianticlabs/monodepth2/blob/master/README.md\">https://github.com/nianticlabs/monodepth2/blob/master/README.md</a></p>",
      "rawMarkdown": "Pretrained models\nhttps://github.com/nianticlabs/monodepth2/blob/master/README.md"
    },
    {
      "id": 722097,
      "postDate": "2020-01-18T05:09:25.373Z",
      "content": "<p>Pretrained model from </p>\n\n<p><a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a></p>",
      "rawMarkdown": "Pretrained model from \n\nhttps://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md"
    },
    {
      "id": 722022,
      "postDate": "2020-01-18T02:22:41.920Z",
      "content": "<p>aha, <a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a></p>",
      "rawMarkdown": "aha, https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md"
    },
    {
      "id": 721829,
      "postDate": "2020-01-17T18:48:48.337Z",
      "content": "<p>pretrain efficientnet\n<a href=\"https://github.com/qubvel/efficientnet\">https://github.com/qubvel/efficientnet</a>\n<a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a></p>",
      "rawMarkdown": "pretrain efficientnet\nhttps://github.com/qubvel/efficientnet\nhttps://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md"
    },
    {
      "id": 720461,
      "postDate": "2020-01-16T13:04:46.137Z",
      "content": "<p><a href=\"https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py\">https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py</a></p>",
      "rawMarkdown": "https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py"
    },
    {
      "id": 720456,
      "postDate": "2020-01-16T12:59:17.890Z",
      "content": "<p>pretrained models:\n'resnet50': '<a href=\"https://download.pytorch.org/models/resnet50-19c8e357.pth\">https://download.pytorch.org/models/resnet50-19c8e357.pth</a>',\n'resnet101': '<a href=\"https://download.pytorch.org/models/resnet101-5d3b4d8f.pth\">https://download.pytorch.org/models/resnet101-5d3b4d8f.pth</a>',\n'resnet152': '<a href=\"https://download.pytorch.org/models/resnet152-b121ed2d.pth\">https://download.pytorch.org/models/resnet152-b121ed2d.pth</a>',\n'resnext5032x4d': '<a href=\"https://download.pytorch.org/models/resnext5032x4d-7cdf4587.pth\">https://download.pytorch.org/models/resnext5032x4d-7cdf4587.pth</a>',\n'resnext10132x8d': '<a href=\"https://download.pytorch.org/models/resnext10132x8d-8ba56ff5.pth\">https://download.pytorch.org/models/resnext10132x8d-8ba56ff5.pth</a>',\n'wideresnet502': '<a href=\"https://download.pytorch.org/models/wideresnet502-95faca4d.pth\">https://download.pytorch.org/models/wideresnet502-95faca4d.pth</a>',\n'wideresnet1012': '<a href=\"https://download.pytorch.org/models/wideresnet1012-32ee1156.pth\">https://download.pytorch.org/models/wideresnet1012-32ee1156.pth</a>',\n'centernet':<a href=\"https://github.com/xingyizhou/CenterNet\">https://github.com/xingyizhou/CenterNet</a></p>",
      "rawMarkdown": "pretrained models:\n'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth',\n'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth',\n'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth',\n'resnext5032x4d': 'https://download.pytorch.org/models/resnext5032x4d-7cdf4587.pth',\n'resnext10132x8d': 'https://download.pytorch.org/models/resnext10132x8d-8ba56ff5.pth',\n'wideresnet502': 'https://download.pytorch.org/models/wideresnet502-95faca4d.pth',\n'wideresnet1012': 'https://download.pytorch.org/models/wideresnet1012-32ee1156.pth',\n'centernet':https://github.com/xingyizhou/CenterNet"
    },
    {
      "id": 719047,
      "postDate": "2020-01-15T04:10:20.200Z",
      "content": "<p>external data\nApolloscape</p>\n\n<p>Pretrained model\nmaskrcnn with restnet-101 pretrained weight</p>",
      "rawMarkdown": "external data\nApolloscape\n\nPretrained model\nmaskrcnn with restnet-101 pretrained weight"
    },
    {
      "id": 718794,
      "postDate": "2020-01-14T19:37:44.627Z",
      "content": "<p>I am going to use models from:\n<a href=\"https://github.com/matterport/Mask_RCNN\">https://github.com/matterport/Mask_RCNN</a>\nwith pre-trained weights (MS COCO)</p>",
      "rawMarkdown": "I am going to use models from:\nhttps://github.com/matterport/Mask_RCNN\nwith pre-trained weights (MS COCO)\n"
    },
    {
      "id": 718792,
      "postDate": "2020-01-14T19:28:50.537Z",
      "content": "<p>Datasets:\nApolloscape 3D Car Instance <a href=\"http://apolloscape.auto/car_instance.html#to_dataset_href\">http://apolloscape.auto/car_instance.html#to_dataset_href</a>\nCocoDataset <a href=\"http://cocodataset.org/\">http://cocodataset.org/</a></p>\n\n<p>External code:\n<a href=\"https://github.com/stevenwudi/ApolloScape_InstanceSeg\">https://github.com/stevenwudi/ApolloScape_InstanceSeg</a>\nCenterNet repository <a href=\"https://github.com/xingyizhou/CenterNet\">https://github.com/xingyizhou/CenterNet</a>\nkeras applications <a href=\"https://github.com/keras-team/keras-applications\">https://github.com/keras-team/keras-applications</a></p>",
      "rawMarkdown": "Datasets:\nApolloscape 3D Car Instance http://apolloscape.auto/car_instance.html#to_dataset_href\nCocoDataset http://cocodataset.org/\n\nExternal code:\nhttps://github.com/stevenwudi/ApolloScape_InstanceSeg\nCenterNet repository https://github.com/xingyizhou/CenterNet\nkeras applications https://github.com/keras-team/keras-applications"
    },
    {
      "id": 718782,
      "postDate": "2020-01-14T19:10:24.610Z",
      "content": "<p>We just used pretrained models by torchvision\n<a href=\"https://pytorch.org/docs/stable/torchvision/models.html\">https://pytorch.org/docs/stable/torchvision/models.html</a>\n<a href=\"https://github.com/pytorch/vision/tree/master/torchvision/models\">https://github.com/pytorch/vision/tree/master/torchvision/models</a></p>",
      "rawMarkdown": "We just used pretrained models by torchvision\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/pytorch/vision/tree/master/torchvision/models"
    },
    {
      "id": 718687,
      "postDate": "2020-01-14T16:44:46.507Z",
      "content": "<p>pre-trained model:\nres2net: <a href=\"https://github.com/gasvn/Res2Net\">https://github.com/gasvn/Res2Net</a></p>",
      "rawMarkdown": "pre-trained model:\nres2net: https://github.com/gasvn/Res2Net"
    },
    {
      "id": 718606,
      "postDate": "2020-01-14T15:25:35.237Z",
      "content": "<p>pretrained models:\n'resnet50': '<a href=\"https://download.pytorch.org/models/resnet50-19c8e357.pth\">https://download.pytorch.org/models/resnet50-19c8e357.pth</a>',\n'resnet101': '<a href=\"https://download.pytorch.org/models/resnet101-5d3b4d8f.pth\">https://download.pytorch.org/models/resnet101-5d3b4d8f.pth</a>',\n'resnet152': '<a href=\"https://download.pytorch.org/models/resnet152-b121ed2d.pth\">https://download.pytorch.org/models/resnet152-b121ed2d.pth</a>',\n'resnext50_32x4d': '<a href=\"https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth\">https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth</a>',\n'resnext101_32x8d': '<a href=\"https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth\">https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth</a>',\n'wide_resnet50_2': '<a href=\"https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth\">https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth</a>',\n'wide_resnet101_2': '<a href=\"https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth\">https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth</a>',\n'centernet':<a href=\"https://github.com/xingyizhou/CenterNet\">https://github.com/xingyizhou/CenterNet</a>\ndetectron2: <a href=\"https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md</a>\ndataset: \n<a href=\"http://apolloscape.auto/\">http://apolloscape.auto/</a>\n<a href=\"https://bdd-data.berkeley.edu/\">https://bdd-data.berkeley.edu/</a>\n<a href=\"https://boxy-dataset.com/boxy\">https://boxy-dataset.com/boxy</a></p>",
      "rawMarkdown": "pretrained models:\n'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth',\n'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth',\n'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth',\n'resnext50_32x4d': 'https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth',\n'resnext101_32x8d': 'https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth',\n'wide_resnet50_2': 'https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth',\n'wide_resnet101_2': 'https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth',\n'centernet':https://github.com/xingyizhou/CenterNet\ndetectron2: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\ndataset: \nhttp://apolloscape.auto/\nhttps://bdd-data.berkeley.edu/\nhttps://boxy-dataset.com/boxy"
    },
    {
      "id": 718505,
      "postDate": "2020-01-14T13:29:15.747Z",
      "content": "<p>Apart from the data sources already disclosed in this thread,</p>\n\n<p><a href=\"https://pytorch.org/docs/stable/torchvision/models.html\">https://pytorch.org/docs/stable/torchvision/models.html</a></p>",
      "rawMarkdown": "Apart from the data sources already disclosed in this thread,\n\n[https://pytorch.org/docs/stable/torchvision/models.html](https://pytorch.org/docs/stable/torchvision/models.html)"
    },
    {
      "id": 718502,
      "postDate": "2020-01-14T13:27:30.637Z",
      "content": "<p>CenterNet in <a href=\"https://github.com/see--/kuzushiji-recognition\">https://github.com/see--/kuzushiji-recognition</a>\nPretrained model in <a href=\"https://github.com/rwightman/pytorch-image-models\">https://github.com/rwightman/pytorch-image-models</a></p>",
      "rawMarkdown": "CenterNet in https://github.com/see--/kuzushiji-recognition\nPretrained model in https://github.com/rwightman/pytorch-image-models"
    },
    {
      "id": 718418,
      "postDate": "2020-01-14T11:29:53.500Z",
      "content": "<p><a href=\"https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\">https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md</a></p>",
      "rawMarkdown": "https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md"
    },
    {
      "id": 718136,
      "postDate": "2020-01-14T04:01:43.393Z",
      "content": "<p>pretrained models from: torchvision,  <a href=\"https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md</a>, <a href=\"https://github.com/open-mmlab/mmdetection\">https://github.com/open-mmlab/mmdetection</a>, <a href=\"https://pjreddie.com/darknet/yolo/\">https://pjreddie.com/darknet/yolo/</a></p>",
      "rawMarkdown": "pretrained models from: torchvision,  https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md, https://github.com/open-mmlab/mmdetection, https://pjreddie.com/darknet/yolo/"
    },
    {
      "id": 718103,
      "postDate": "2020-01-14T02:42:27.193Z",
      "content": "<p>Pretrained:\n<a href=\"https://download.pytorch.org/models/\">https://download.pytorch.org/models/</a>\n<a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a></p>",
      "rawMarkdown": "Pretrained:\nhttps://download.pytorch.org/models/\nhttps://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md"
    },
    {
      "id": 717910,
      "postDate": "2020-01-13T19:07:43.097Z",
      "content": "<p>nuScenes dataset:\n<a href=\"https://www.nuscenes.org/overview\">https://www.nuscenes.org/overview</a></p>",
      "rawMarkdown": "nuScenes dataset:\nhttps://www.nuscenes.org/overview"
    },
    {
      "id": 717887,
      "postDate": "2020-01-13T18:28:12.330Z",
      "content": "<p>Pretrained models:\ntorchvision package, \n<a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">https://github.com/lukemelas/EfficientNet-PyTorch</a>, \n<a href=\"https://github.com/huyvnphan/PyTorch-CIFAR10\">https://github.com/huyvnphan/PyTorch-CIFAR10</a> \n<a href=\"https://github.com/open-mmlab/mmdetection\">https://github.com/open-mmlab/mmdetection</a> .</p>",
      "rawMarkdown": "Pretrained models:\ntorchvision package, \nhttps://github.com/lukemelas/EfficientNet-PyTorch, \nhttps://github.com/huyvnphan/PyTorch-CIFAR10 \nhttps://github.com/open-mmlab/mmdetection .\n"
    },
    {
      "id": 717715,
      "postDate": "2020-01-13T14:13:33.297Z",
      "content": "<p>Pretrained models:\n<a href=\"https://github.com/qubvel/classification_models\">https://github.com/qubvel/classification_models</a>\n<a href=\"https://github.com/titu1994/keras-efficientnets\">https://github.com/titu1994/keras-efficientnets</a>\n<a href=\"https://github.com/see--/keras-centernet\">https://github.com/see--/keras-centernet</a>\n<a href=\"https://github.com/matterport/Mask_RCNN\">https://github.com/matterport/Mask_RCNN</a>\nNo external datasets</p>",
      "rawMarkdown": "Pretrained models:\nhttps://github.com/qubvel/classification_models\nhttps://github.com/titu1994/keras-efficientnets\nhttps://github.com/see--/keras-centernet\nhttps://github.com/matterport/Mask_RCNN\nNo external datasets"
    },
    {
      "id": 717570,
      "postDate": "2020-01-13T09:49:25.550Z",
      "content": "<p>External Datasets\nLyft Dataset.      <a href=\"https://level5.lyft.com\">https://level5.lyft.com</a>\nCoco Dataset     <a href=\"http://cocodataset.org\">http://cocodataset.org</a>\nCityscpae           <a href=\"https://www.cityscapes-dataset.com\">https://www.cityscapes-dataset.com</a>\nApolloscape.      <a href=\"http://apolloscape.auto/\">http://apolloscape.auto/</a>\nPre-trained model\n<a href=\"https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md</a></p>",
      "rawMarkdown": "External Datasets\nLyft Dataset.      https://level5.lyft.com\nCoco Dataset     http://cocodataset.org\nCityscpae           https://www.cityscapes-dataset.com\nApolloscape.      http://apolloscape.auto/\nPre-trained model\nhttps://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md"
    },
    {
      "id": 717566,
      "postDate": "2020-01-13T09:45:36.320Z",
      "content": "<p>pretrain efficientnet\n<a href=\"https://github.com/qubvel/efficientnet\">https://github.com/qubvel/efficientnet</a>\npretrain resnet\n<a href=\"https://github.com/qubvel/classification_models\">https://github.com/qubvel/classification_models</a></p>",
      "rawMarkdown": "pretrain efficientnet\nhttps://github.com/qubvel/efficientnet\npretrain resnet\nhttps://github.com/qubvel/classification_models"
    },
    {
      "id": 717077,
      "postDate": "2020-01-12T17:36:15.580Z",
      "content": "<p><a href=\"https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md</a></p>",
      "rawMarkdown": "https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md"
    },
    {
      "id": 716880,
      "postDate": "2020-01-12T12:06:09.827Z",
      "content": "<p>pretrained models\n<a href=\"https://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md\">https://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md</a></p>",
      "rawMarkdown": "pretrained models\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md"
    },
    {
      "id": 716421,
      "postDate": "2020-01-11T17:37:18.853Z",
      "content": "<p>Camvid: segmentation <a href=\"http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/\">http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/</a></p>",
      "rawMarkdown": "Camvid: segmentation http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/"
    },
    {
      "id": 716378,
      "postDate": "2020-01-11T16:06:36.123Z",
      "content": "<p>Pretrained Model: <a href=\"https://github.com/see--/keras-centernet\">https://github.com/see--/keras-centernet</a>\nExternal dataset: <a href=\"https://bdd-data.berkeley.edu\">https://bdd-data.berkeley.edu</a></p>",
      "rawMarkdown": "Pretrained Model: https://github.com/see--/keras-centernet\nExternal dataset: https://bdd-data.berkeley.edu\n"
    },
    {
      "id": 716203,
      "postDate": "2020-01-11T12:02:30.990Z",
      "content": "<p>HRNet pretrained model:  <a href=\"https://github.com/HRNet\">https://github.com/HRNet</a></p>",
      "rawMarkdown": "HRNet pretrained model:  https://github.com/HRNet"
    },
    {
      "id": 715668,
      "postDate": "2020-01-10T17:58:06.150Z",
      "content": "<p>torchvision maskrcnn pretrained model <a href=\"https://github.com/pytorch/vision/blob/master/torchvision/models/detection/mask_rcnn.py\">https://github.com/pytorch/vision/blob/master/torchvision/models/detection/mask_rcnn.py</a></p>",
      "rawMarkdown": "torchvision maskrcnn pretrained model https://github.com/pytorch/vision/blob/master/torchvision/models/detection/mask_rcnn.py"
    },
    {
      "id": 715304,
      "postDate": "2020-01-10T11:29:52.370Z",
      "content": "<p>pretrained models: <a href=\"https://github.com/Cadene/pretrained-models.pytorch\">https://github.com/Cadene/pretrained-models.pytorch</a></p>",
      "rawMarkdown": "pretrained models: https://github.com/Cadene/pretrained-models.pytorch"
    },
    {
      "id": 714937,
      "postDate": "2020-01-10T00:24:16.947Z",
      "content": "<p>I am also trying to use <a href=\"http://apolloscape.auto/\">http://apolloscape.auto/</a>, especially the car3D dataset and this dataset seems to have quite d different annotation system than that used in Kaggle.</p>",
      "rawMarkdown": "I am also trying to use http://apolloscape.auto/, especially the car3D dataset and this dataset seems to have quite d different annotation system than that used in Kaggle."
    },
    {
      "id": 714903,
      "postDate": "2020-01-09T22:50:35.917Z",
      "content": "<p><a href=\"https://github.com/matterport/Mask_RCNN.git\">https://github.com/matterport/Mask_RCNN.git</a>\npre-trained weight on coco</p>",
      "rawMarkdown": "https://github.com/matterport/Mask_RCNN.git\npre-trained weight on coco"
    },
    {
      "id": 713184,
      "postDate": "2020-01-08T02:14:47.600Z",
      "content": "<p>pretrained model: efficientNet-b0 <a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">https://github.com/lukemelas/EfficientNet-PyTorch</a>\npretrained model: <a href=\"https://github.com/xingyizhou/CenterNet\">https://github.com/xingyizhou/CenterNet</a></p>",
      "rawMarkdown": "pretrained model: efficientNet-b0 https://github.com/lukemelas/EfficientNet-PyTorch\npretrained model: https://github.com/xingyizhou/CenterNet"
    },
    {
      "id": 702863,
      "postDate": "2019-12-25T09:19:42.973Z",
      "content": "<p>pytorch segmentation_models with pretrained encoder:\n<a href=\"https://github.com/qubvel/segmentation_models.pytorch\">https://github.com/qubvel/segmentation_models.pytorch</a></p>",
      "rawMarkdown": "pytorch segmentation_models with pretrained encoder:\nhttps://github.com/qubvel/segmentation_models.pytorch"
    },
    {
      "id": 699510,
      "postDate": "2019-12-20T14:30:09.213Z",
      "content": "<p>yolov3 pretrained model from <a href=\"https://pjreddie.com/darknet/yolo/\">https://pjreddie.com/darknet/yolo/</a></p>",
      "rawMarkdown": "yolov3 pretrained model from https://pjreddie.com/darknet/yolo/"
    },
    {
      "id": 695328,
      "postDate": "2019-12-15T00:40:46.350Z",
      "content": "<p>MS-COCO ok?\n<a href=\"http://cocodataset.org/\">http://cocodataset.org/</a></p>",
      "rawMarkdown": "MS-COCO ok?\nhttp://cocodataset.org/"
    },
    {
      "id": 715789,
      "postDate": "2020-01-10T21:04:03.203Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 714603,
      "postDate": "2020-01-09T15:32:15.780Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 671686,
      "author_name": "Jack Vial",
      "author_url": "",
      "post_date": "2019-11-13T03:42:46.660000",
      "content": "<p>Is it ok to use the Lyft Dataset? <a href=\"https://level5.lyft.com/dataset/#data-collection\">https://level5.lyft.com/dataset/#data-collection</a> <a href=\"https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/data\">https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/data</a></p>",
      "votes": 4,
      "replies": []
    },
    {
      "id": 710173,
      "author_name": "phalanx",
      "author_url": "",
      "post_date": "2020-01-04T12:03:40.743000",
      "content": "<p>detectron2: <a href=\"https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md</a>\nbdd100k dataset: <a href=\"https://bdd-data.berkeley.edu\">https://bdd-data.berkeley.edu</a>\nboxy vehicle dataset: <a href=\"https://boxy-dataset.com/boxy\">https://boxy-dataset.com/boxy</a></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 697524,
      "author_name": "outrunner",
      "author_url": "",
      "post_date": "2019-12-18T03:19:25.983000",
      "content": "<p>keras  centernet with pretrained:\n<a href=\"https://github.com/see--/keras-centernet\">https://github.com/see--/keras-centernet</a></p>\n\n<p>keras application:\n<a href=\"https://github.com/keras-team/keras-applications\">https://github.com/keras-team/keras-applications</a></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 696952,
      "author_name": "Dmitrii Lavrukhin",
      "author_url": "",
      "post_date": "2019-12-17T09:33:03.900000",
      "content": "<p>I am going to generate additional training data using <a href=\"http://carla.org/\">http://carla.org/</a></p>",
      "votes": 1,
      "replies": []
    },
    {
      "id": 718511,
      "author_name": "4ui_iurz1",
      "author_url": "",
      "post_date": "2020-01-14T13:38:25.863000",
      "content": "<p>pretrained models:\n<a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a>\n<a href=\"https://github.com/Cadene/pretrained-models.pytorch\">https://github.com/Cadene/pretrained-models.pytorch</a></p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 697348,
      "author_name": "Pascal Pfeiffer",
      "author_url": "",
      "post_date": "2019-12-17T19:12:06.383000",
      "content": "<p>All data available at <a href=\"http://apolloscape.auto/\">http://apolloscape.auto/</a></p>",
      "votes": 2,
      "replies": [
        {
          "id": 698634,
          "author_name": "Camaro",
          "author_url": "",
          "post_date": "2019-12-19T13:50:18.150000",
          "content": "<p>Have you successfully used this dataset??</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 699182,
          "author_name": "Pascal Pfeiffer",
          "author_url": "",
          "post_date": "2019-12-20T06:08:52.573000",
          "content": "<p>Not really, but i'd like to have the option</p>",
          "votes": 1,
          "replies": []
        },
        {
          "id": 699764,
          "author_name": "Camaro",
          "author_url": "",
          "post_date": "2019-12-20T21:38:30.540000",
          "content": "<p>I got it, thanks!</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 711234,
          "author_name": "",
          "author_url": "",
          "post_date": "2020-01-05T20:28:52.810000",
          "content": "",
          "votes": 3,
          "replies": []
        },
        {
          "id": 711248,
          "author_name": "Pascal Pfeiffer",
          "author_url": "",
          "post_date": "2020-01-05T20:54:36.803000",
          "content": "<p>I experienced the same, it might have to do with the fact that description with euler angles is not unique\nStill trying to really make use of the set ... and any other public set.</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 711965,
          "author_name": "",
          "author_url": "",
          "post_date": "2020-01-06T17:55:43.843000",
          "content": "",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 724173,
      "author_name": "Takayoshi Makabe",
      "author_url": "",
      "post_date": "2020-01-20T21:41:01.933000",
      "content": "<p>pretrained efficient pytorch:\n<a href=\"https://pypi.org/project/efficientnet-pytorch/\">https://pypi.org/project/efficientnet-pytorch/</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 722397,
      "author_name": "arutema47",
      "author_url": "",
      "post_date": "2020-01-18T14:16:18.933000",
      "content": "<p>Pretrained models\n<a href=\"https://github.com/nianticlabs/monodepth2/blob/master/README.md\">https://github.com/nianticlabs/monodepth2/blob/master/README.md</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 722097,
      "author_name": "Arjun Subedi",
      "author_url": "",
      "post_date": "2020-01-18T05:09:25.373000",
      "content": "<p>Pretrained model from </p>\n\n<p><a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 722022,
      "author_name": "Quancheng",
      "author_url": "",
      "post_date": "2020-01-18T02:22:41.920000",
      "content": "<p>aha, <a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 721829,
      "author_name": "Helen",
      "author_url": "",
      "post_date": "2020-01-17T18:48:48.337000",
      "content": "<p>pretrain efficientnet\n<a href=\"https://github.com/qubvel/efficientnet\">https://github.com/qubvel/efficientnet</a>\n<a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 720461,
      "author_name": "管住嘴也能迈开腿的Miracle_b_cool",
      "author_url": "",
      "post_date": "2020-01-16T13:04:46.137000",
      "content": "<p><a href=\"https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py\">https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 720456,
      "author_name": "管住嘴也能迈开腿的Miracle_b_cool",
      "author_url": "",
      "post_date": "2020-01-16T12:59:17.890000",
      "content": "<p>pretrained models:\n'resnet50': '<a href=\"https://download.pytorch.org/models/resnet50-19c8e357.pth\">https://download.pytorch.org/models/resnet50-19c8e357.pth</a>',\n'resnet101': '<a href=\"https://download.pytorch.org/models/resnet101-5d3b4d8f.pth\">https://download.pytorch.org/models/resnet101-5d3b4d8f.pth</a>',\n'resnet152': '<a href=\"https://download.pytorch.org/models/resnet152-b121ed2d.pth\">https://download.pytorch.org/models/resnet152-b121ed2d.pth</a>',\n'resnext5032x4d': '<a href=\"https://download.pytorch.org/models/resnext5032x4d-7cdf4587.pth\">https://download.pytorch.org/models/resnext5032x4d-7cdf4587.pth</a>',\n'resnext10132x8d': '<a href=\"https://download.pytorch.org/models/resnext10132x8d-8ba56ff5.pth\">https://download.pytorch.org/models/resnext10132x8d-8ba56ff5.pth</a>',\n'wideresnet502': '<a href=\"https://download.pytorch.org/models/wideresnet502-95faca4d.pth\">https://download.pytorch.org/models/wideresnet502-95faca4d.pth</a>',\n'wideresnet1012': '<a href=\"https://download.pytorch.org/models/wideresnet1012-32ee1156.pth\">https://download.pytorch.org/models/wideresnet1012-32ee1156.pth</a>',\n'centernet':<a href=\"https://github.com/xingyizhou/CenterNet\">https://github.com/xingyizhou/CenterNet</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 719047,
      "author_name": "John",
      "author_url": "",
      "post_date": "2020-01-15T04:10:20.200000",
      "content": "<p>external data\nApolloscape</p>\n\n<p>Pretrained model\nmaskrcnn with restnet-101 pretrained weight</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718794,
      "author_name": "vion",
      "author_url": "",
      "post_date": "2020-01-14T19:37:44.627000",
      "content": "<p>I am going to use models from:\n<a href=\"https://github.com/matterport/Mask_RCNN\">https://github.com/matterport/Mask_RCNN</a>\nwith pre-trained weights (MS COCO)</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718792,
      "author_name": "Dmitry_Yudin",
      "author_url": "",
      "post_date": "2020-01-14T19:28:50.537000",
      "content": "<p>Datasets:\nApolloscape 3D Car Instance <a href=\"http://apolloscape.auto/car_instance.html#to_dataset_href\">http://apolloscape.auto/car_instance.html#to_dataset_href</a>\nCocoDataset <a href=\"http://cocodataset.org/\">http://cocodataset.org/</a></p>\n\n<p>External code:\n<a href=\"https://github.com/stevenwudi/ApolloScape_InstanceSeg\">https://github.com/stevenwudi/ApolloScape_InstanceSeg</a>\nCenterNet repository <a href=\"https://github.com/xingyizhou/CenterNet\">https://github.com/xingyizhou/CenterNet</a>\nkeras applications <a href=\"https://github.com/keras-team/keras-applications\">https://github.com/keras-team/keras-applications</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718782,
      "author_name": "Alessandro Luppi",
      "author_url": "",
      "post_date": "2020-01-14T19:10:24.610000",
      "content": "<p>We just used pretrained models by torchvision\n<a href=\"https://pytorch.org/docs/stable/torchvision/models.html\">https://pytorch.org/docs/stable/torchvision/models.html</a>\n<a href=\"https://github.com/pytorch/vision/tree/master/torchvision/models\">https://github.com/pytorch/vision/tree/master/torchvision/models</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718687,
      "author_name": "Welkin",
      "author_url": "",
      "post_date": "2020-01-14T16:44:46.507000",
      "content": "<p>pre-trained model:\nres2net: <a href=\"https://github.com/gasvn/Res2Net\">https://github.com/gasvn/Res2Net</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718606,
      "author_name": "RisingSun",
      "author_url": "",
      "post_date": "2020-01-14T15:25:35.237000",
      "content": "<p>pretrained models:\n'resnet50': '<a href=\"https://download.pytorch.org/models/resnet50-19c8e357.pth\">https://download.pytorch.org/models/resnet50-19c8e357.pth</a>',\n'resnet101': '<a href=\"https://download.pytorch.org/models/resnet101-5d3b4d8f.pth\">https://download.pytorch.org/models/resnet101-5d3b4d8f.pth</a>',\n'resnet152': '<a href=\"https://download.pytorch.org/models/resnet152-b121ed2d.pth\">https://download.pytorch.org/models/resnet152-b121ed2d.pth</a>',\n'resnext50_32x4d': '<a href=\"https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth\">https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth</a>',\n'resnext101_32x8d': '<a href=\"https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth\">https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth</a>',\n'wide_resnet50_2': '<a href=\"https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth\">https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth</a>',\n'wide_resnet101_2': '<a href=\"https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth\">https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth</a>',\n'centernet':<a href=\"https://github.com/xingyizhou/CenterNet\">https://github.com/xingyizhou/CenterNet</a>\ndetectron2: <a href=\"https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md</a>\ndataset: \n<a href=\"http://apolloscape.auto/\">http://apolloscape.auto/</a>\n<a href=\"https://bdd-data.berkeley.edu/\">https://bdd-data.berkeley.edu/</a>\n<a href=\"https://boxy-dataset.com/boxy\">https://boxy-dataset.com/boxy</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718505,
      "author_name": "Ern",
      "author_url": "",
      "post_date": "2020-01-14T13:29:15.747000",
      "content": "<p>Apart from the data sources already disclosed in this thread,</p>\n\n<p><a href=\"https://pytorch.org/docs/stable/torchvision/models.html\">https://pytorch.org/docs/stable/torchvision/models.html</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718502,
      "author_name": "Camaro",
      "author_url": "",
      "post_date": "2020-01-14T13:27:30.637000",
      "content": "<p>CenterNet in <a href=\"https://github.com/see--/kuzushiji-recognition\">https://github.com/see--/kuzushiji-recognition</a>\nPretrained model in <a href=\"https://github.com/rwightman/pytorch-image-models\">https://github.com/rwightman/pytorch-image-models</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718418,
      "author_name": "kkk",
      "author_url": "",
      "post_date": "2020-01-14T11:29:53.500000",
      "content": "<p><a href=\"https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md\">https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718136,
      "author_name": "Vasily Toropov",
      "author_url": "",
      "post_date": "2020-01-14T04:01:43.393000",
      "content": "<p>pretrained models from: torchvision,  <a href=\"https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md</a>, <a href=\"https://github.com/open-mmlab/mmdetection\">https://github.com/open-mmlab/mmdetection</a>, <a href=\"https://pjreddie.com/darknet/yolo/\">https://pjreddie.com/darknet/yolo/</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 718103,
      "author_name": "apppa",
      "author_url": "",
      "post_date": "2020-01-14T02:42:27.193000",
      "content": "<p>Pretrained:\n<a href=\"https://download.pytorch.org/models/\">https://download.pytorch.org/models/</a>\n<a href=\"https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\">https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 717910,
      "author_name": "HirokiTaniai",
      "author_url": "",
      "post_date": "2020-01-13T19:07:43.097000",
      "content": "<p>nuScenes dataset:\n<a href=\"https://www.nuscenes.org/overview\">https://www.nuscenes.org/overview</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 717887,
      "author_name": "LK-D505",
      "author_url": "",
      "post_date": "2020-01-13T18:28:12.330000",
      "content": "<p>Pretrained models:\ntorchvision package, \n<a href=\"https://github.com/lukemelas/EfficientNet-PyTorch\">https://github.com/lukemelas/EfficientNet-PyTorch</a>, \n<a href=\"https://github.com/huyvnphan/PyTorch-CIFAR10\">https://github.com/huyvnphan/PyTorch-CIFAR10</a> \n<a href=\"https://github.com/open-mmlab/mmdetection\">https://github.com/open-mmlab/mmdetection</a> .</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 717715,
      "author_name": "GreatGameDota",
      "author_url": "",
      "post_date": "2020-01-13T14:13:33.297000",
      "content": "<p>Pretrained models:\n<a href=\"https://github.com/qubvel/classification_models\">https://github.com/qubvel/classification_models</a>\n<a href=\"https://github.com/titu1994/keras-efficientnets\">https://github.com/titu1994/keras-efficientnets</a>\n<a href=\"https://github.com/see--/keras-centernet\">https://github.com/see--/keras-centernet</a>\n<a href=\"https://github.com/matterport/Mask_RCNN\">https://github.com/matterport/Mask_RCNN</a>\nNo external datasets</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 717570,
      "author_name": "SUPER NEIL",
      "author_url": "",
      "post_date": "2020-01-13T09:49:25.550000",
      "content": "<p>External Datasets\nLyft Dataset.      <a href=\"https://level5.lyft.com\">https://level5.lyft.com</a>\nCoco Dataset     <a href=\"http://cocodataset.org\">http://cocodataset.org</a>\nCityscpae           <a href=\"https://www.cityscapes-dataset.com\">https://www.cityscapes-dataset.com</a>\nApolloscape.      <a href=\"http://apolloscape.auto/\">http://apolloscape.auto/</a>\nPre-trained model\n<a href=\"https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\">https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 717566,
      "author_name": "Tsai29",
      "author_url": "",
      "post_date": "2020-01-13T09:45:36.320000",
      "content": "<p>pretrain efficientnet\n<a href=\"https://github.com/qubvel/efficientnet\">https://github.com/qubvel/efficientnet</a>\npretrain resnet\n<a href=\"https://github.com/qubvel/classification_models\">https://github.com/qubvel/classification_models</a></p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 717077,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-12T17:36:15.580000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 716880,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-12T12:06:09.827000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 716421,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-11T17:37:18.853000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 716378,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-11T16:06:36.123000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 716203,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-11T12:02:30.990000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 715668,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-10T17:58:06.150000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 715304,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-10T11:29:52.370000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 714937,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-10T00:24:16.947000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 714903,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-09T22:50:35.917000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 713184,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-08T02:14:47.600000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 702863,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-12-25T09:19:42.973000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 699510,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-12-20T14:30:09.213000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 695328,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-12-15T00:40:46.350000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 715789,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-10T21:04:03.203000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 714603,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-01-09T15:32:15.780000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "655209": "Post links to your external data sources here before the deadline specified in the rules. Once it has been posted, you do not need to post it again.",
    "671686": "Is it ok to use the Lyft Dataset? https://level5.lyft.com/dataset/#data-collection https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/data",
    "710173": "detectron2: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\nbdd100k dataset: https://bdd-data.berkeley.edu\nboxy vehicle dataset: https://boxy-dataset.com/boxy",
    "697524": "keras  centernet with pretrained:\nhttps://github.com/see--/keras-centernet\n\nkeras application:\nhttps://github.com/keras-team/keras-applications",
    "696952": "I am going to generate additional training data using http://carla.org/",
    "718511": "pretrained models:\nhttps://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md\nhttps://github.com/Cadene/pretrained-models.pytorch",
    "697348": "All data available at http://apolloscape.auto/",
    "724173": "pretrained efficient pytorch:\nhttps://pypi.org/project/efficientnet-pytorch/",
    "722397": "Pretrained models\nhttps://github.com/nianticlabs/monodepth2/blob/master/README.md",
    "722097": "Pretrained model from \n\nhttps://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md",
    "722022": "aha, https://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md",
    "721829": "pretrain efficientnet\nhttps://github.com/qubvel/efficientnet\nhttps://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md",
    "720461": "https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py",
    "720456": "pretrained models:\n'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth',\n'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth',\n'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth',\n'resnext5032x4d': 'https://download.pytorch.org/models/resnext5032x4d-7cdf4587.pth',\n'resnext10132x8d': 'https://download.pytorch.org/models/resnext10132x8d-8ba56ff5.pth',\n'wideresnet502': 'https://download.pytorch.org/models/wideresnet502-95faca4d.pth',\n'wideresnet1012': 'https://download.pytorch.org/models/wideresnet1012-32ee1156.pth',\n'centernet':https://github.com/xingyizhou/CenterNet",
    "719047": "external data\nApolloscape\n\nPretrained model\nmaskrcnn with restnet-101 pretrained weight",
    "718794": "I am going to use models from:\nhttps://github.com/matterport/Mask_RCNN\nwith pre-trained weights (MS COCO)\n",
    "718792": "Datasets:\nApolloscape 3D Car Instance http://apolloscape.auto/car_instance.html#to_dataset_href\nCocoDataset http://cocodataset.org/\n\nExternal code:\nhttps://github.com/stevenwudi/ApolloScape_InstanceSeg\nCenterNet repository https://github.com/xingyizhou/CenterNet\nkeras applications https://github.com/keras-team/keras-applications",
    "718782": "We just used pretrained models by torchvision\nhttps://pytorch.org/docs/stable/torchvision/models.html\nhttps://github.com/pytorch/vision/tree/master/torchvision/models",
    "718687": "pre-trained model:\nres2net: https://github.com/gasvn/Res2Net",
    "718606": "pretrained models:\n'resnet50': 'https://download.pytorch.org/models/resnet50-19c8e357.pth',\n'resnet101': 'https://download.pytorch.org/models/resnet101-5d3b4d8f.pth',\n'resnet152': 'https://download.pytorch.org/models/resnet152-b121ed2d.pth',\n'resnext50_32x4d': 'https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth',\n'resnext101_32x8d': 'https://download.pytorch.org/models/resnext101_32x8d-8ba56ff5.pth',\n'wide_resnet50_2': 'https://download.pytorch.org/models/wide_resnet50_2-95faca4d.pth',\n'wide_resnet101_2': 'https://download.pytorch.org/models/wide_resnet101_2-32ee1156.pth',\n'centernet':https://github.com/xingyizhou/CenterNet\ndetectron2: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md\ndataset: \nhttp://apolloscape.auto/\nhttps://bdd-data.berkeley.edu/\nhttps://boxy-dataset.com/boxy",
    "718505": "Apart from the data sources already disclosed in this thread,\n\n[https://pytorch.org/docs/stable/torchvision/models.html](https://pytorch.org/docs/stable/torchvision/models.html)",
    "718502": "CenterNet in https://github.com/see--/kuzushiji-recognition\nPretrained model in https://github.com/rwightman/pytorch-image-models",
    "718418": "https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md",
    "718136": "pretrained models from: torchvision,  https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md, https://github.com/open-mmlab/mmdetection, https://pjreddie.com/darknet/yolo/",
    "718103": "Pretrained:\nhttps://download.pytorch.org/models/\nhttps://github.com/xingyizhou/CenterNet/blob/master/readme/MODEL_ZOO.md",
    "717910": "nuScenes dataset:\nhttps://www.nuscenes.org/overview",
    "717887": "Pretrained models:\ntorchvision package, \nhttps://github.com/lukemelas/EfficientNet-PyTorch, \nhttps://github.com/huyvnphan/PyTorch-CIFAR10 \nhttps://github.com/open-mmlab/mmdetection .\n",
    "717715": "Pretrained models:\nhttps://github.com/qubvel/classification_models\nhttps://github.com/titu1994/keras-efficientnets\nhttps://github.com/see--/keras-centernet\nhttps://github.com/matterport/Mask_RCNN\nNo external datasets",
    "717570": "External Datasets\nLyft Dataset.      https://level5.lyft.com\nCoco Dataset     http://cocodataset.org\nCityscpae           https://www.cityscapes-dataset.com\nApolloscape.      http://apolloscape.auto/\nPre-trained model\nhttps://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md",
    "717566": "pretrain efficientnet\nhttps://github.com/qubvel/efficientnet\npretrain resnet\nhttps://github.com/qubvel/classification_models",
    "717077": "https://github.com/facebookresearch/maskrcnn-benchmark/blob/master/MODEL_ZOO.md",
    "716880": "pretrained models\nhttps://github.com/open-mmlab/mmdetection/blob/master/docs/MODEL_ZOO.md",
    "716421": "Camvid: segmentation http://mi.eng.cam.ac.uk/research/projects/VideoRec/CamVid/",
    "716378": "Pretrained Model: https://github.com/see--/keras-centernet\nExternal dataset: https://bdd-data.berkeley.edu\n",
    "716203": "HRNet pretrained model:  https://github.com/HRNet",
    "715668": "torchvision maskrcnn pretrained model https://github.com/pytorch/vision/blob/master/torchvision/models/detection/mask_rcnn.py",
    "715304": "pretrained models: https://github.com/Cadene/pretrained-models.pytorch",
    "714937": "I am also trying to use http://apolloscape.auto/, especially the car3D dataset and this dataset seems to have quite d different annotation system than that used in Kaggle.",
    "714903": "https://github.com/matterport/Mask_RCNN.git\npre-trained weight on coco",
    "713184": "pretrained model: efficientNet-b0 https://github.com/lukemelas/EfficientNet-PyTorch\npretrained model: https://github.com/xingyizhou/CenterNet",
    "702863": "pytorch segmentation_models with pretrained encoder:\nhttps://github.com/qubvel/segmentation_models.pytorch",
    "699510": "yolov3 pretrained model from https://pjreddie.com/darknet/yolo/",
    "695328": "MS-COCO ok?\nhttp://cocodataset.org/",
    "715789": "",
    "714603": ""
  }
}