{
  "id": 296913,
  "title": "There is a small but important problem confused me. ",
  "url": "/competitions/sartorius-cell-instance-segmentation/discussion/296913",
  "author_name": "deeeeeeeplearning",
  "post_date": "2021-12-24T09:13:26.761000",
  "votes": 0,
  "comment_count": 3,
  "views": 0,
  "content": "<p>Lib: mmdetection<br>\nI use the dataset without the overlap to train and verify my model.  I got <br>\n'2021-12-23 22:12:19,066 - mmdet - INFO - Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.442' for val_dataset of cort cell. But I can not get the same socre when I use the trained model to test on the val_dataset of cort cell. Why? Why there is a gap?</p>",
  "messages": [
    {
      "id": 1627868,
      "postDate": "2021-12-24T09:13:26.763Z",
      "content": "<p>Lib: mmdetection<br>\nI use the dataset without the overlap to train and verify my model.  I got <br>\n'2021-12-23 22:12:19,066 - mmdet - INFO - Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.442' for val_dataset of cort cell. But I can not get the same socre when I use the trained model to test on the val_dataset of cort cell. Why? Why there is a gap?</p>",
      "rawMarkdown": "Lib: mmdetection\nI use the dataset without the overlap to train and verify my model.  I got \n'2021-12-23 22:12:19,066 - mmdet - INFO - Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.442' for val_dataset of cort cell. But I can not get the same socre when I use the trained model to test on the val_dataset of cort cell. Why? Why there is a gap?"
    },
    {
      "id": 1628139,
      "postDate": "2021-12-24T14:48:30.210Z",
      "content": "<p>I know the answer. mmdet: tp/(tp+fp). cv: tp/(tp+fp+fn).😃</p>",
      "rawMarkdown": "I know the answer. mmdet: tp/(tp+fp). cv: tp/(tp+fp+fn).😃"
    },
    {
      "id": 1627880,
      "postDate": "2021-12-24T09:29:07.413Z",
      "rawMarkdown": "",
      "isDeleted": true,
      "replies": [
        {
          "id": 1627990,
          "postDate": "2021-12-24T11:57:58.767Z",
          "rawMarkdown": "",
          "isDeleted": true
        }
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    }
  ],
  "comments": [
    {
      "id": 1628139,
      "author_name": "deeeeeeeplearning",
      "author_url": "",
      "post_date": "2021-12-24T14:48:30.210000",
      "content": "<p>I know the answer. mmdet: tp/(tp+fp). cv: tp/(tp+fp+fn).😃</p>",
      "votes": 0,
      "replies": []
    },
    {
      "id": 1627880,
      "author_name": "",
      "author_url": "",
      "post_date": "2021-12-24T09:29:07.413000",
      "content": "",
      "votes": 0,
      "replies": [
        {
          "id": 1627990,
          "author_name": "",
          "author_url": "",
          "post_date": "2021-12-24T11:57:58.767000",
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  ],
  "raw_markdown_by_id": {
    "1627868": "Lib: mmdetection\nI use the dataset without the overlap to train and verify my model.  I got \n'2021-12-23 22:12:19,066 - mmdet - INFO - Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.442' for val_dataset of cort cell. But I can not get the same socre when I use the trained model to test on the val_dataset of cort cell. Why? Why there is a gap?",
    "1628139": "I know the answer. mmdet: tp/(tp+fp). cv: tp/(tp+fp+fn).😃",
    "1627880": ""
  }
}