{
  "id": 225166,
  "title": "💥 💥 Useful Notebooks from Previous  iMet Competition 🔥🔥",
  "url": "/competitions/imet-2021-fgvc8/discussion/225166",
  "author_name": "Tensor Girl",
  "post_date": "2021-03-11T05:10:26.513000",
  "votes": 4,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I have curated some interesting notebooks from previous iWildcam competitions , so beginners can get started easily using these references</p>\n<p><img src=\"https://drive.google.com/uc?id=1x9WW7ZmndnUKNy4M6lwieZP6M7HS3qzU\" alt=\"\"></p>\n<p><strong>2019</strong></p>\n<p><a href=\"https://www.kaggle.com/jesucristo/imet2020-visualization\" target=\"_blank\">https://www.kaggle.com/jesucristo/imet2020-visualization</a></p>\n<p><a href=\"https://www.kaggle.com/zfturbo/benchmark-2019-speed-of-image-reading\" target=\"_blank\">https://www.kaggle.com/zfturbo/benchmark-2019-speed-of-image-reading</a></p>\n<p><a href=\"https://www.kaggle.com/ceshine/imet-inference-kernel-public\" target=\"_blank\">https://www.kaggle.com/ceshine/imet-inference-kernel-public</a></p>\n<p><a href=\"https://www.kaggle.com/ateplyuk/efficientnet-keras-s75-b200-e20\" target=\"_blank\">https://www.kaggle.com/ateplyuk/efficientnet-keras-s75-b200-e20</a></p>\n<p><a href=\"https://www.kaggle.com/tarunpaparaju/imet-competition-cultural-eda\" target=\"_blank\">https://www.kaggle.com/tarunpaparaju/imet-competition-cultural-eda</a></p>\n<p><a href=\"https://www.kaggle.com/dimitreoliveira/imet-keras-pretrained-model-as-feature-extractor\" target=\"_blank\">https://www.kaggle.com/dimitreoliveira/imet-keras-pretrained-model-as-feature-extractor</a></p>\n<p><a href=\"https://www.kaggle.com/ratthachat/imet-resnet50-keras-starter\" target=\"_blank\">https://www.kaggle.com/ratthachat/imet-resnet50-keras-starter</a></p>\n<p><a href=\"https://www.kaggle.com/backaggle/imet-fastai-starter-focal-and-fbeta-loss\" target=\"_blank\">https://www.kaggle.com/backaggle/imet-fastai-starter-focal-and-fbeta-loss</a></p>\n<p><a href=\"https://www.kaggle.com/hidehisaarai1213/imet-pytorch-starter\" target=\"_blank\">https://www.kaggle.com/hidehisaarai1213/imet-pytorch-starter</a></p>\n<p><a href=\"https://www.kaggle.com/dimitreoliveira/imet-collection-2019-eda-keras\" target=\"_blank\">https://www.kaggle.com/dimitreoliveira/imet-collection-2019-eda-keras</a></p>\n<p><a href=\"https://www.kaggle.com/mathormad/resnet50-v2-keras-focal-loss-mix-up\" target=\"_blank\">https://www.kaggle.com/mathormad/resnet50-v2-keras-focal-loss-mix-up</a></p>\n<p><a href=\"https://www.kaggle.com/axel81/ensembling-imet\" target=\"_blank\">https://www.kaggle.com/axel81/ensembling-imet</a></p>\n<p><strong>2020</strong></p>\n<p><a href=\"https://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-inference\" target=\"_blank\">https://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-inference</a></p>\n<p><a href=\"https://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-starter\" target=\"_blank\">https://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-starter</a></p>\n<p><a href=\"https://www.kaggle.com/nxrprime/imet-2020-resnet18-inference\" target=\"_blank\">https://www.kaggle.com/nxrprime/imet-2020-resnet18-inference</a></p>\n<p><a href=\"https://www.kaggle.com/ateplyuk/keras-imet2020-tpu-train\" target=\"_blank\">https://www.kaggle.com/ateplyuk/keras-imet2020-tpu-train</a></p>\n<p><a href=\"https://www.kaggle.com/ateplyuk/keras-imet2020-infer\" target=\"_blank\">https://www.kaggle.com/ateplyuk/keras-imet2020-infer</a></p>\n<p><a href=\"https://www.kaggle.com/finlaymacrae/fastai-resnet34-transfer-learning\" target=\"_blank\">https://www.kaggle.com/finlaymacrae/fastai-resnet34-transfer-learning</a>  </p>\n<p>Hope you found this useful . If you come across any other interesting notebook , do share in the comment and I will update the post</p>\n<p>Good Luck to the competition !!!</p>",
  "messages": [
    {
      "id": 1234270,
      "postDate": "2021-03-11T05:10:26.513Z",
      "content": "<p>I have curated some interesting notebooks from previous iWildcam competitions , so beginners can get started easily using these references</p>\n<p><img src=\"https://drive.google.com/uc?id=1x9WW7ZmndnUKNy4M6lwieZP6M7HS3qzU\" alt=\"\"></p>\n<p><strong>2019</strong></p>\n<p><a href=\"https://www.kaggle.com/jesucristo/imet2020-visualization\" target=\"_blank\">https://www.kaggle.com/jesucristo/imet2020-visualization</a></p>\n<p><a href=\"https://www.kaggle.com/zfturbo/benchmark-2019-speed-of-image-reading\" target=\"_blank\">https://www.kaggle.com/zfturbo/benchmark-2019-speed-of-image-reading</a></p>\n<p><a href=\"https://www.kaggle.com/ceshine/imet-inference-kernel-public\" target=\"_blank\">https://www.kaggle.com/ceshine/imet-inference-kernel-public</a></p>\n<p><a href=\"https://www.kaggle.com/ateplyuk/efficientnet-keras-s75-b200-e20\" target=\"_blank\">https://www.kaggle.com/ateplyuk/efficientnet-keras-s75-b200-e20</a></p>\n<p><a href=\"https://www.kaggle.com/tarunpaparaju/imet-competition-cultural-eda\" target=\"_blank\">https://www.kaggle.com/tarunpaparaju/imet-competition-cultural-eda</a></p>\n<p><a href=\"https://www.kaggle.com/dimitreoliveira/imet-keras-pretrained-model-as-feature-extractor\" target=\"_blank\">https://www.kaggle.com/dimitreoliveira/imet-keras-pretrained-model-as-feature-extractor</a></p>\n<p><a href=\"https://www.kaggle.com/ratthachat/imet-resnet50-keras-starter\" target=\"_blank\">https://www.kaggle.com/ratthachat/imet-resnet50-keras-starter</a></p>\n<p><a href=\"https://www.kaggle.com/backaggle/imet-fastai-starter-focal-and-fbeta-loss\" target=\"_blank\">https://www.kaggle.com/backaggle/imet-fastai-starter-focal-and-fbeta-loss</a></p>\n<p><a href=\"https://www.kaggle.com/hidehisaarai1213/imet-pytorch-starter\" target=\"_blank\">https://www.kaggle.com/hidehisaarai1213/imet-pytorch-starter</a></p>\n<p><a href=\"https://www.kaggle.com/dimitreoliveira/imet-collection-2019-eda-keras\" target=\"_blank\">https://www.kaggle.com/dimitreoliveira/imet-collection-2019-eda-keras</a></p>\n<p><a href=\"https://www.kaggle.com/mathormad/resnet50-v2-keras-focal-loss-mix-up\" target=\"_blank\">https://www.kaggle.com/mathormad/resnet50-v2-keras-focal-loss-mix-up</a></p>\n<p><a href=\"https://www.kaggle.com/axel81/ensembling-imet\" target=\"_blank\">https://www.kaggle.com/axel81/ensembling-imet</a></p>\n<p><strong>2020</strong></p>\n<p><a href=\"https://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-inference\" target=\"_blank\">https://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-inference</a></p>\n<p><a href=\"https://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-starter\" target=\"_blank\">https://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-starter</a></p>\n<p><a href=\"https://www.kaggle.com/nxrprime/imet-2020-resnet18-inference\" target=\"_blank\">https://www.kaggle.com/nxrprime/imet-2020-resnet18-inference</a></p>\n<p><a href=\"https://www.kaggle.com/ateplyuk/keras-imet2020-tpu-train\" target=\"_blank\">https://www.kaggle.com/ateplyuk/keras-imet2020-tpu-train</a></p>\n<p><a href=\"https://www.kaggle.com/ateplyuk/keras-imet2020-infer\" target=\"_blank\">https://www.kaggle.com/ateplyuk/keras-imet2020-infer</a></p>\n<p><a href=\"https://www.kaggle.com/finlaymacrae/fastai-resnet34-transfer-learning\" target=\"_blank\">https://www.kaggle.com/finlaymacrae/fastai-resnet34-transfer-learning</a>  </p>\n<p>Hope you found this useful . If you come across any other interesting notebook , do share in the comment and I will update the post</p>\n<p>Good Luck to the competition !!!</p>",
      "rawMarkdown": "I have curated some interesting notebooks from previous iWildcam competitions , so beginners can get started easily using these references\n\n\n![](https://drive.google.com/uc?id=1x9WW7ZmndnUKNy4M6lwieZP6M7HS3qzU)\n\n**2019**\n\nhttps://www.kaggle.com/jesucristo/imet2020-visualization\n\nhttps://www.kaggle.com/zfturbo/benchmark-2019-speed-of-image-reading\n\nhttps://www.kaggle.com/ceshine/imet-inference-kernel-public\n\nhttps://www.kaggle.com/ateplyuk/efficientnet-keras-s75-b200-e20\n\nhttps://www.kaggle.com/tarunpaparaju/imet-competition-cultural-eda\n\nhttps://www.kaggle.com/dimitreoliveira/imet-keras-pretrained-model-as-feature-extractor\n\nhttps://www.kaggle.com/ratthachat/imet-resnet50-keras-starter\n\nhttps://www.kaggle.com/backaggle/imet-fastai-starter-focal-and-fbeta-loss\n\nhttps://www.kaggle.com/hidehisaarai1213/imet-pytorch-starter\n\nhttps://www.kaggle.com/dimitreoliveira/imet-collection-2019-eda-keras\n\nhttps://www.kaggle.com/mathormad/resnet50-v2-keras-focal-loss-mix-up\n\nhttps://www.kaggle.com/axel81/ensembling-imet\n\n**2020**\n\nhttps://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-inference\n\nhttps://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-starter\n\nhttps://www.kaggle.com/nxrprime/imet-2020-resnet18-inference\n\nhttps://www.kaggle.com/ateplyuk/keras-imet2020-tpu-train\n\nhttps://www.kaggle.com/ateplyuk/keras-imet2020-infer\n\nhttps://www.kaggle.com/finlaymacrae/fastai-resnet34-transfer-learning  \n\n\nHope you found this useful . If you come across any other interesting notebook , do share in the comment and I will update the post\n\nGood Luck to the competition !!!\n\n\n\n",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1234270": "I have curated some interesting notebooks from previous iWildcam competitions , so beginners can get started easily using these references\n\n\n![](https://drive.google.com/uc?id=1x9WW7ZmndnUKNy4M6lwieZP6M7HS3qzU)\n\n**2019**\n\nhttps://www.kaggle.com/jesucristo/imet2020-visualization\n\nhttps://www.kaggle.com/zfturbo/benchmark-2019-speed-of-image-reading\n\nhttps://www.kaggle.com/ceshine/imet-inference-kernel-public\n\nhttps://www.kaggle.com/ateplyuk/efficientnet-keras-s75-b200-e20\n\nhttps://www.kaggle.com/tarunpaparaju/imet-competition-cultural-eda\n\nhttps://www.kaggle.com/dimitreoliveira/imet-keras-pretrained-model-as-feature-extractor\n\nhttps://www.kaggle.com/ratthachat/imet-resnet50-keras-starter\n\nhttps://www.kaggle.com/backaggle/imet-fastai-starter-focal-and-fbeta-loss\n\nhttps://www.kaggle.com/hidehisaarai1213/imet-pytorch-starter\n\nhttps://www.kaggle.com/dimitreoliveira/imet-collection-2019-eda-keras\n\nhttps://www.kaggle.com/mathormad/resnet50-v2-keras-focal-loss-mix-up\n\nhttps://www.kaggle.com/axel81/ensembling-imet\n\n**2020**\n\nhttps://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-inference\n\nhttps://www.kaggle.com/yasufuminakama/imet-2020-pytorch-resnet18-starter\n\nhttps://www.kaggle.com/nxrprime/imet-2020-resnet18-inference\n\nhttps://www.kaggle.com/ateplyuk/keras-imet2020-tpu-train\n\nhttps://www.kaggle.com/ateplyuk/keras-imet2020-infer\n\nhttps://www.kaggle.com/finlaymacrae/fastai-resnet34-transfer-learning  \n\n\nHope you found this useful . If you come across any other interesting notebook , do share in the comment and I will update the post\n\nGood Luck to the competition !!!\n\n\n\n"
  }
}