{
  "id": 164409,
  "title": "After augmentations got worse results based on yoloV5",
  "url": "/competitions/global-wheat-detection/discussion/164409",
  "author_name": "",
  "post_date": "2020-07-06T06:57:19.174124500Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>After augmentations with rotation and brightness I got a worse result that the precision is rather lower than before. Moreover, the AP and precision curves fluctuated dastically. Did I augmentate them too much?</p>",
  "messages": [
    {
      "id": "916989",
      "postDate": "07/06/2020 06:57:19",
      "content": "<p>After augmentations with rotation and brightness I got a worse result that the precision is rather lower than before. Moreover, the AP and precision curves fluctuated dastically. Did I augmentate them too much?</p>",
      "rawMarkdown": "After augmentations with rotation and brightness I got a worse result that the precision is rather lower than before. Moreover, the AP and precision curves fluctuated dastically. Did I augmentate them too much?",
      "votes": null
    },
    {
      "id": "916999",
      "postDate": "07/06/2020 07:01:20",
      "content": "<p>How many epochs did you do before and after using the augs? \nI usually do a few more epochs when introducing new augs.</p>",
      "rawMarkdown": "How many epochs did you do before and after using the augs? \nI usually do a few more epochs when introducing new augs.",
      "votes": null
    },
    {
      "id": "917001",
      "postDate": "07/06/2020 07:03:48",
      "content": "<p>You could have augmented \"too much\" (making the scene too bright or too dark), a good way to judge that is just to look at the images after augmentation. I'm not too familiar with Yolov5 but doesn't it have all those augmentations built-in to it? If so, adding more augmentations on top would likely not improve your performance (and may decrease it like you see)</p>",
      "rawMarkdown": "You could have augmented \"too much\" (making the scene too bright or too dark), a good way to judge that is just to look at the images after augmentation. I'm not too familiar with Yolov5 but doesn't it have all those augmentations built-in to it? If so, adding more augmentations on top would likely not improve your performance (and may decrease it like you see)",
      "votes": null
    },
    {
      "id": "917248",
      "postDate": "07/06/2020 11:11:40",
      "content": "<p>I modified the original yoloV5, adding some augmentations in it such as random brightness. Before augmentations I tested the effect of augmentations as well. In my mind it had been supposed to be accepted as similiar as the original datasets. Probably I have to omit my custom augmentations :(</p>",
      "rawMarkdown": "I modified the original yoloV5, adding some augmentations in it such as random brightness. Before augmentations I tested the effect of augmentations as well. In my mind it had been supposed to be accepted as similiar as the original datasets. Probably I have to omit my custom augmentations :(",
      "votes": null
    },
    {
      "id": "917251",
      "postDate": "07/06/2020 11:12:51",
      "content": "<p>I trained 100 epochs but it seemed not to converge and than I trained another 50 epochs. But there is not so much improvement.</p>",
      "rawMarkdown": "I trained 100 epochs but it seemed not to converge and than I trained another 50 epochs. But there is not so much improvement.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 916999,
      "author_name": "mightyrains",
      "author_url": "",
      "post_date": "07/06/2020 07:01:20",
      "content": "<p>How many epochs did you do before and after using the augs? \nI usually do a few more epochs when introducing new augs.</p>",
      "votes": null,
      "replies": [
        {
          "id": 917251,
          "author_name": "jianangu",
          "author_url": "",
          "post_date": "07/06/2020 11:12:51",
          "content": "<p>I trained 100 epochs but it seemed not to converge and than I trained another 50 epochs. But there is not so much improvement.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 917001,
      "author_name": "matthewmasters",
      "author_url": "",
      "post_date": "07/06/2020 07:03:48",
      "content": "<p>You could have augmented \"too much\" (making the scene too bright or too dark), a good way to judge that is just to look at the images after augmentation. I'm not too familiar with Yolov5 but doesn't it have all those augmentations built-in to it? If so, adding more augmentations on top would likely not improve your performance (and may decrease it like you see)</p>",
      "votes": null,
      "replies": [
        {
          "id": 917248,
          "author_name": "jianangu",
          "author_url": "",
          "post_date": "07/06/2020 11:11:40",
          "content": "<p>I modified the original yoloV5, adding some augmentations in it such as random brightness. Before augmentations I tested the effect of augmentations as well. In my mind it had been supposed to be accepted as similiar as the original datasets. Probably I have to omit my custom augmentations :(</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "916989": "After augmentations with rotation and brightness I got a worse result that the precision is rather lower than before. Moreover, the AP and precision curves fluctuated dastically. Did I augmentate them too much?",
    "916999": "How many epochs did you do before and after using the augs? \nI usually do a few more epochs when introducing new augs.",
    "917001": "You could have augmented \"too much\" (making the scene too bright or too dark), a good way to judge that is just to look at the images after augmentation. I'm not too familiar with Yolov5 but doesn't it have all those augmentations built-in to it? If so, adding more augmentations on top would likely not improve your performance (and may decrease it like you see)",
    "917248": "I modified the original yoloV5, adding some augmentations in it such as random brightness. Before augmentations I tested the effect of augmentations as well. In my mind it had been supposed to be accepted as similiar as the original datasets. Probably I have to omit my custom augmentations :(",
    "917251": "I trained 100 epochs but it seemed not to converge and than I trained another 50 epochs. But there is not so much improvement."
  },
  "source": "meta"
}