{
  "id": 572470,
  "title": "The number of classes in YOLO",
  "url": "/competitions/byu-locating-bacterial-flagellar-motors-2025/discussion/572470",
  "author_name": "",
  "post_date": "2025-04-09T16:17:36.257017600Z",
  "votes": 2,
  "comment_count": 1,
  "views": 0,
  "content": "<p>For training a model with YOLO, how many classes should be considered? Should the data with and without a motor be separated into class 0 and 1?</p>",
  "messages": [
    {
      "id": "3174986",
      "postDate": "04/09/2025 16:17:36",
      "content": "<p>For training a model with YOLO, how many classes should be considered? Should the data with and without a motor be separated into class 0 and 1?</p>",
      "rawMarkdown": "For training a model with YOLO, how many classes should be considered? Should the data with and without a motor be separated into class 0 and 1?",
      "votes": null
    },
    {
      "id": "3175152",
      "postDate": "04/09/2025 19:25:09",
      "content": "<p>You will only have 1 class.  In YOLO data labeling you only identify the foreground objects you are trying to detect so in this case where it is either a motor or not a motor you have 1 class for \"motor\".  I hope this helps!</p>",
      "rawMarkdown": "You will only have 1 class.  In YOLO data labeling you only identify the foreground objects you are trying to detect so in this case where it is either a motor or not a motor you have 1 class for \"motor\".  I hope this helps!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3175152,
      "author_name": "connorjd",
      "author_url": "",
      "post_date": "04/09/2025 19:25:09",
      "content": "<p>You will only have 1 class.  In YOLO data labeling you only identify the foreground objects you are trying to detect so in this case where it is either a motor or not a motor you have 1 class for \"motor\".  I hope this helps!</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "3174986": "For training a model with YOLO, how many classes should be considered? Should the data with and without a motor be separated into class 0 and 1?",
    "3175152": "You will only have 1 class.  In YOLO data labeling you only identify the foreground objects you are trying to detect so in this case where it is either a motor or not a motor you have 1 class for \"motor\".  I hope this helps!"
  },
  "source": "meta"
}