{
  "id": 219069,
  "title": "Question related to evaluation metric",
  "url": "/competitions/vinbigdata-chest-xray-abnormalities-detection/discussion/219069",
  "author_name": "Leo Pham",
  "post_date": "2021-02-13T07:44:08.545000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hello,</p>\n<p>I've read that the IOU threshold is 0.4. So the metric for the competiton is mAP@0.4 or mAP@[0.4:0.95].</p>\n<p>Please clarify! Thanks in advance.</p>",
  "messages": [
    {
      "id": 1198661,
      "postDate": "2021-02-13T07:44:08.547Z",
      "content": "<p>Hello,</p>\n<p>I've read that the IOU threshold is 0.4. So the metric for the competiton is mAP@0.4 or mAP@[0.4:0.95].</p>\n<p>Please clarify! Thanks in advance.</p>",
      "rawMarkdown": "Hello,\n\nI've read that the IOU threshold is 0.4. So the metric for the competiton is mAP@0.4 or mAP@[0.4:0.95].\n\nPlease clarify! Thanks in advance.",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1198661": "Hello,\n\nI've read that the IOU threshold is 0.4. So the metric for the competiton is mAP@0.4 or mAP@[0.4:0.95].\n\nPlease clarify! Thanks in advance."
  }
}