{
  "id": 415327,
  "title": "Unet Pytorch Baseline (LB 0.608)",
  "url": "/competitions/google-research-identify-contrails-reduce-global-warming/discussion/415327",
  "author_name": "Jan H",
  "post_date": "2023-06-06T03:14:31.261000",
  "votes": 15,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Hey everyone,</p>\n<p>I just published two notebooks for training and submission of a Unet baseline model. You can find them here:<br>\n <a href=\"https://www.kaggle.com/code/janhuebi/unet-pytorch-baseline-lb-0-608-training\" target=\"_blank\"><strong>Training</strong></a><br>\n <a href=\"https://www.kaggle.com/code/janhuebi/unet-pytorch-baseline-lb-0-608-submission\" target=\"_blank\"><strong>Submission</strong></a></p>\n<p>The model is trained on the ash-rgb scheme using segmentation model pytorch implementation of Unet with efficientnet-b0 as encoder and an image size of 384. Feel free to check the notebooks out and comment / ask if anything is unclear.</p>",
  "messages": [
    {
      "id": 2289238,
      "postDate": "2023-06-06T03:14:31.263Z",
      "content": "<p>Hey everyone,</p>\n<p>I just published two notebooks for training and submission of a Unet baseline model. You can find them here:<br>\n <a href=\"https://www.kaggle.com/code/janhuebi/unet-pytorch-baseline-lb-0-608-training\" target=\"_blank\"><strong>Training</strong></a><br>\n <a href=\"https://www.kaggle.com/code/janhuebi/unet-pytorch-baseline-lb-0-608-submission\" target=\"_blank\"><strong>Submission</strong></a></p>\n<p>The model is trained on the ash-rgb scheme using segmentation model pytorch implementation of Unet with efficientnet-b0 as encoder and an image size of 384. Feel free to check the notebooks out and comment / ask if anything is unclear.</p>",
      "rawMarkdown": "Hey everyone,\n\nI just published two notebooks for training and submission of a Unet baseline model. You can find them here:\n [**Training**](https://www.kaggle.com/code/janhuebi/unet-pytorch-baseline-lb-0-608-training)\n [**Submission**](https://www.kaggle.com/code/janhuebi/unet-pytorch-baseline-lb-0-608-submission)\n\nThe model is trained on the ash-rgb scheme using segmentation model pytorch implementation of Unet with efficientnet-b0 as encoder and an image size of 384. Feel free to check the notebooks out and comment / ask if anything is unclear.",
      "votes": 14
    },
    {
      "id": 2289834,
      "postDate": "2023-06-06T11:25:52.170Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 2289834,
      "author_name": "",
      "author_url": "",
      "post_date": "2023-06-06T11:25:52.170000",
      "content": "",
      "votes": 0,
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  ],
  "raw_markdown_by_id": {
    "2289238": "Hey everyone,\n\nI just published two notebooks for training and submission of a Unet baseline model. You can find them here:\n [**Training**](https://www.kaggle.com/code/janhuebi/unet-pytorch-baseline-lb-0-608-training)\n [**Submission**](https://www.kaggle.com/code/janhuebi/unet-pytorch-baseline-lb-0-608-submission)\n\nThe model is trained on the ash-rgb scheme using segmentation model pytorch implementation of Unet with efficientnet-b0 as encoder and an image size of 384. Feel free to check the notebooks out and comment / ask if anything is unclear.",
    "2289834": ""
  }
}