{
  "id": 549615,
  "title": "UNet Model Output",
  "url": "/competitions/czii-cryo-et-object-identification/discussion/549615",
  "author_name": "David List",
  "post_date": "2024-12-03T04:26:49.304000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Thought this was pretty cool.  This is one layer of a 96x96x96 cube of the original tomogram followed by each of the 7 channels of UNet output from <a href=\"https://www.kaggle.com/fnands\" target=\"_blank\">@fnands</a> UNet Notebook. <a href=\"https://www.kaggle.com/code/fnands/baseline-unet-train-submit\" target=\"_blank\">https://www.kaggle.com/code/fnands/baseline-unet-train-submit</a></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10704200%2Ffb0354a51f6e05050f204e426b36296d%2FUNet.png?generation=1733199773900663&amp;alt=media\" alt=\"\"></p>",
  "messages": [
    {
      "id": 3061890,
      "postDate": "2024-12-03T04:26:49.303Z",
      "content": "<p>Thought this was pretty cool.  This is one layer of a 96x96x96 cube of the original tomogram followed by each of the 7 channels of UNet output from <a href=\"https://www.kaggle.com/fnands\" target=\"_blank\">@fnands</a> UNet Notebook. <a href=\"https://www.kaggle.com/code/fnands/baseline-unet-train-submit\" target=\"_blank\">https://www.kaggle.com/code/fnands/baseline-unet-train-submit</a></p>\n<p><img src=\"https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10704200%2Ffb0354a51f6e05050f204e426b36296d%2FUNet.png?generation=1733199773900663&amp;alt=media\" alt=\"\"></p>",
      "rawMarkdown": "Thought this was pretty cool.  This is one layer of a 96x96x96 cube of the original tomogram followed by each of the 7 channels of UNet output from @fnands UNet Notebook. [https://www.kaggle.com/code/fnands/baseline-unet-train-submit](https://www.kaggle.com/code/fnands/baseline-unet-train-submit)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10704200%2Ffb0354a51f6e05050f204e426b36296d%2FUNet.png?generation=1733199773900663&alt=media)",
      "votes": 5
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3061890": "Thought this was pretty cool.  This is one layer of a 96x96x96 cube of the original tomogram followed by each of the 7 channels of UNet output from @fnands UNet Notebook. [https://www.kaggle.com/code/fnands/baseline-unet-train-submit](https://www.kaggle.com/code/fnands/baseline-unet-train-submit)\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F10704200%2Ffb0354a51f6e05050f204e426b36296d%2FUNet.png?generation=1733199773900663&alt=media)"
  }
}