{
  "id": 477841,
  "title": "Do you get score improved by taking use of data augmentations?",
  "url": "/competitions/hms-harmful-brain-activity-classification/discussion/477841",
  "author_name": "",
  "post_date": "2024-02-18T03:31:57.763876700Z",
  "votes": 11,
  "comment_count": 16,
  "views": 0,
  "content": "<p>I have tried some types of data augmentations like time/frequency mask, add noise, random flip and so on. But it seems strange that almost of them doesn't work. However I find data augmentations ususally take an important role in old competitions.</p>\n<p>So do you get score improved by taking use of data augmentations?</p>",
  "messages": [
    {
      "id": "2656811",
      "postDate": "02/18/2024 03:31:57",
      "content": "<p>I have tried some types of data augmentations like time/frequency mask, add noise, random flip and so on. But it seems strange that almost of them doesn't work. However I find data augmentations ususally take an important role in old competitions.</p>\n<p>So do you get score improved by taking use of data augmentations?</p>",
      "rawMarkdown": "I have tried some types of data augmentations like time/frequency mask, add noise, random flip and so on. But it seems strange that almost of them doesn't work. However I find data augmentations ususally take an important role in old competitions.\n\nSo do you get score improved by taking use of data augmentations?",
      "votes": null
    },
    {
      "id": "2656895",
      "postDate": "02/18/2024 05:55:40",
      "content": "<p>In my experiments, very limited (maybe ±0.01), even worse</p>",
      "rawMarkdown": "In my experiments, very limited (maybe ±0.01), even worse",
      "votes": null
    },
    {
      "id": "2656911",
      "postDate": "02/18/2024 06:17:50",
      "content": "<p>Yes, they work really good. I got 0.05-0.1 improvement over the baseline without any augmentations.</p>",
      "rawMarkdown": "Yes, they work really good. I got 0.05-0.1 improvement over the baseline without any augmentations.",
      "votes": null
    },
    {
      "id": "2656940",
      "postDate": "02/18/2024 06:53:10",
      "content": "<p>I got wild results for this myself. I had one notebook that got slightly worse (both in CV and LB) and then another notebook that improved significantly (0.06). I have no real assumption for why this may be the case but even augmentations such as a horizontal flip had both effects on the notebooks respectively. </p>",
      "rawMarkdown": "I got wild results for this myself. I had one notebook that got slightly worse (both in CV and LB) and then another notebook that improved significantly (0.06). I have no real assumption for why this may be the case but even augmentations such as a horizontal flip had both effects on the notebooks respectively.",
      "votes": null
    },
    {
      "id": "2656942",
      "postDate": "02/18/2024 06:54:09",
      "content": "<p>I'm sorry but I'm a little confused. You mean you get 0.05~0.1 improvement not using augmentations but I ask if there is improvement using augmentations ?</p>",
      "rawMarkdown": "I'm sorry but I'm a little confused. You mean you get 0.05~0.1 improvement not using augmentations but I ask if there is improvement using augmentations ?",
      "votes": null
    },
    {
      "id": "2656943",
      "postDate": "02/18/2024 06:55:40",
      "content": "<p>That's similar to mine.</p>",
      "rawMarkdown": "That's similar to mine.",
      "votes": null
    },
    {
      "id": "2656949",
      "postDate": "02/18/2024 07:02:24",
      "content": "<p>🤣That's so strange. May I ask whether your best single model use augmentations?</p>",
      "rawMarkdown": "🤣That's so strange. May I ask whether your best single model use augmentations?",
      "votes": null
    },
    {
      "id": "2656956",
      "postDate": "02/18/2024 07:05:11",
      "content": "<p>Sorry I wrote it in a confusing way. My baseline was without any augmentations. When I added augmentations, I got improvement between 0.05 and 0.1.</p>",
      "rawMarkdown": "Sorry I wrote it in a confusing way. My baseline was without any augmentations. When I added augmentations, I got improvement between 0.05 and 0.1.",
      "votes": null
    },
    {
      "id": "2656959",
      "postDate": "02/18/2024 07:09:07",
      "content": "<p>Currently, my best model <strong>is</strong> using augmentations</p>",
      "rawMarkdown": "Currently, my best model **is** using augmentations",
      "votes": null
    },
    {
      "id": "2656961",
      "postDate": "02/18/2024 07:10:53",
      "content": "<p>I understand, thanks for your reply!</p>",
      "rawMarkdown": "I understand, thanks for your reply!",
      "votes": null
    },
    {
      "id": "2656963",
      "postDate": "02/18/2024 07:11:37",
      "content": "<p>👌, thanks!</p>",
      "rawMarkdown": "👌, thanks!",
      "votes": null
    },
    {
      "id": "2656982",
      "postDate": "02/18/2024 07:24:43",
      "content": "<p>I got worse CV when using Gauss noise.</p>",
      "rawMarkdown": "I got worse CV when using Gauss noise.",
      "votes": null
    },
    {
      "id": "2656986",
      "postDate": "02/18/2024 07:29:48",
      "content": "<p>wow, that's incredible.</p>",
      "rawMarkdown": "wow, that's incredible.",
      "votes": null
    },
    {
      "id": "2657075",
      "postDate": "02/18/2024 09:27:08",
      "content": "<p>I've got around 0.06 CV improvement from augmentations in 1D eegs, however only mixup worked for 2D specs.</p>",
      "rawMarkdown": "I've got around 0.06 CV improvement from augmentations in 1D eegs, however only mixup worked for 2D specs.",
      "votes": null
    },
    {
      "id": "2657156",
      "postDate": "02/18/2024 10:53:54",
      "content": "<p>Mixup didn't work for me on 2D efficientnet. 🤣</p>",
      "rawMarkdown": "Mixup didn't work for me on 2D efficientnet. 🤣",
      "votes": null
    },
    {
      "id": "2657292",
      "postDate": "02/18/2024 12:33:32",
      "content": "<p>just to confirm <a href=\"https://www.kaggle.com/gunesevitan\" target=\"_blank\">@gunesevitan</a> 0.1 improvement in KL div? that means 0.4x to 0.3x (approx)?</p>",
      "rawMarkdown": "just to confirm @gunesevitan 0.1 improvement in KL div? that means 0.4x to 0.3x (approx)?",
      "votes": null
    },
    {
      "id": "2657296",
      "postDate": "02/18/2024 12:40:43",
      "content": "<p>Yes augs help a lot.</p>",
      "rawMarkdown": "Yes augs help a lot.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 2656895,
      "author_name": "zijiangyang1116",
      "author_url": "",
      "post_date": "02/18/2024 05:55:40",
      "content": "<p>In my experiments, very limited (maybe ±0.01), even worse</p>",
      "votes": null,
      "replies": [
        {
          "id": 2656943,
          "author_name": "zui0711",
          "author_url": "",
          "post_date": "02/18/2024 06:55:40",
          "content": "<p>That's similar to mine.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 2656911,
      "author_name": "gunesevitan",
      "author_url": "",
      "post_date": "02/18/2024 06:17:50",
      "content": "<p>Yes, they work really good. I got 0.05-0.1 improvement over the baseline without any augmentations.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2656942,
          "author_name": "zui0711",
          "author_url": "",
          "post_date": "02/18/2024 06:54:09",
          "content": "<p>I'm sorry but I'm a little confused. You mean you get 0.05~0.1 improvement not using augmentations but I ask if there is improvement using augmentations ?</p>",
          "votes": null,
          "replies": [
            {
              "id": 2656956,
              "author_name": "gunesevitan",
              "author_url": "",
              "post_date": "02/18/2024 07:05:11",
              "content": "<p>Sorry I wrote it in a confusing way. My baseline was without any augmentations. When I added augmentations, I got improvement between 0.05 and 0.1.</p>",
              "votes": null,
              "replies": [
                {
                  "id": 2656961,
                  "author_name": "zui0711",
                  "author_url": "",
                  "post_date": "02/18/2024 07:10:53",
                  "content": "<p>I understand, thanks for your reply!</p>",
                  "votes": null,
                  "replies": []
                }
              ]
            }
          ]
        },
        {
          "id": 2656986,
          "author_name": "sweetyheehee",
          "author_url": "",
          "post_date": "02/18/2024 07:29:48",
          "content": "<p>wow, that's incredible.</p>",
          "votes": null,
          "replies": [
            {
              "id": 2657292,
              "author_name": "chaudharypriyanshu",
              "author_url": "",
              "post_date": "02/18/2024 12:33:32",
              "content": "<p>just to confirm <a href=\"https://www.kaggle.com/gunesevitan\" target=\"_blank\">@gunesevitan</a> 0.1 improvement in KL div? that means 0.4x to 0.3x (approx)?</p>",
              "votes": null,
              "replies": [
                {
                  "id": 2657296,
                  "author_name": "gunesevitan",
                  "author_url": "",
                  "post_date": "02/18/2024 12:40:43",
                  "content": "<p>Yes augs help a lot.</p>",
                  "votes": null,
                  "replies": []
                }
              ]
            }
          ]
        }
      ]
    },
    {
      "id": 2656940,
      "author_name": "cody11null",
      "author_url": "",
      "post_date": "02/18/2024 06:53:10",
      "content": "<p>I got wild results for this myself. I had one notebook that got slightly worse (both in CV and LB) and then another notebook that improved significantly (0.06). I have no real assumption for why this may be the case but even augmentations such as a horizontal flip had both effects on the notebooks respectively. </p>",
      "votes": null,
      "replies": [
        {
          "id": 2656949,
          "author_name": "zui0711",
          "author_url": "",
          "post_date": "02/18/2024 07:02:24",
          "content": "<p>🤣That's so strange. May I ask whether your best single model use augmentations?</p>",
          "votes": null,
          "replies": [
            {
              "id": 2656959,
              "author_name": "cody11null",
              "author_url": "",
              "post_date": "02/18/2024 07:09:07",
              "content": "<p>Currently, my best model <strong>is</strong> using augmentations</p>",
              "votes": null,
              "replies": [
                {
                  "id": 2656963,
                  "author_name": "zui0711",
                  "author_url": "",
                  "post_date": "02/18/2024 07:11:37",
                  "content": "<p>👌, thanks!</p>",
                  "votes": null,
                  "replies": []
                }
              ]
            }
          ]
        }
      ]
    },
    {
      "id": 2656982,
      "author_name": "sweetyheehee",
      "author_url": "",
      "post_date": "02/18/2024 07:24:43",
      "content": "<p>I got worse CV when using Gauss noise.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 2657075,
      "author_name": "fahmiayari",
      "author_url": "",
      "post_date": "02/18/2024 09:27:08",
      "content": "<p>I've got around 0.06 CV improvement from augmentations in 1D eegs, however only mixup worked for 2D specs.</p>",
      "votes": null,
      "replies": [
        {
          "id": 2657156,
          "author_name": "zui0711",
          "author_url": "",
          "post_date": "02/18/2024 10:53:54",
          "content": "<p>Mixup didn't work for me on 2D efficientnet. 🤣</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "2656811": "I have tried some types of data augmentations like time/frequency mask, add noise, random flip and so on. But it seems strange that almost of them doesn't work. However I find data augmentations ususally take an important role in old competitions.\n\nSo do you get score improved by taking use of data augmentations?",
    "2656895": "In my experiments, very limited (maybe ±0.01), even worse",
    "2656911": "Yes, they work really good. I got 0.05-0.1 improvement over the baseline without any augmentations.",
    "2656940": "I got wild results for this myself. I had one notebook that got slightly worse (both in CV and LB) and then another notebook that improved significantly (0.06). I have no real assumption for why this may be the case but even augmentations such as a horizontal flip had both effects on the notebooks respectively.",
    "2656942": "I'm sorry but I'm a little confused. You mean you get 0.05~0.1 improvement not using augmentations but I ask if there is improvement using augmentations ?",
    "2656943": "That's similar to mine.",
    "2656949": "🤣That's so strange. May I ask whether your best single model use augmentations?",
    "2656956": "Sorry I wrote it in a confusing way. My baseline was without any augmentations. When I added augmentations, I got improvement between 0.05 and 0.1.",
    "2656959": "Currently, my best model **is** using augmentations",
    "2656961": "I understand, thanks for your reply!",
    "2656963": "👌, thanks!",
    "2656982": "I got worse CV when using Gauss noise.",
    "2656986": "wow, that's incredible.",
    "2657075": "I've got around 0.06 CV improvement from augmentations in 1D eegs, however only mixup worked for 2D specs.",
    "2657156": "Mixup didn't work for me on 2D efficientnet. 🤣",
    "2657292": "just to confirm @gunesevitan 0.1 improvement in KL div? that means 0.4x to 0.3x (approx)?",
    "2657296": "Yes augs help a lot."
  },
  "source": "meta"
}