{
  "id": 303839,
  "title": "What is your best ensembling score?",
  "url": "/competitions/tensorflow-great-barrier-reef/discussion/303839",
  "author_name": "",
  "post_date": "2022-01-29T15:20:09.091557400Z",
  "votes": null,
  "comment_count": 20,
  "views": 0,
  "content": "<p>What is your best ensembling score?Let's have a talk!</p>",
  "messages": [
    {
      "id": "1668388",
      "postDate": "01/29/2022 15:20:09",
      "content": "<p>What is your best ensembling score?Let's have a talk!</p>",
      "rawMarkdown": "What is your best ensembling score?Let's have a talk!",
      "votes": null
    },
    {
      "id": "1668392",
      "postDate": "01/29/2022 15:21:35",
      "content": "<p>Oh My friends！！！ This is a nice comment</p>",
      "rawMarkdown": "Oh My friends！！！ This is a nice comment",
      "votes": null
    },
    {
      "id": "1668393",
      "postDate": "01/29/2022 15:22:17",
      "content": "<p>The fusion effect of the two models will be better? Can Yolo series get higher scores by integrating Yolo series?</p>",
      "rawMarkdown": "The fusion effect of the two models will be better? Can Yolo series get higher scores by integrating Yolo series?",
      "votes": null
    },
    {
      "id": "1669002",
      "postDate": "01/30/2022 08:37:37",
      "content": "<p>My ensembling  score &lt;&lt; a single yolov5 score😂</p>",
      "rawMarkdown": "My ensembling  score << a single yolov5 score😂",
      "votes": null
    },
    {
      "id": "1670966",
      "postDate": "02/01/2022 03:33:54",
      "content": "<p>my best ensembling score yet is 0.630 with inference size is 3600. In my case, it outperforms all my models in the same resolution inference.</p>",
      "rawMarkdown": "my best ensembling score yet is 0.630 with inference size is 3600. In my case, it outperforms all my models in the same resolution inference.",
      "votes": null
    },
    {
      "id": "1670975",
      "postDate": "02/01/2022 03:45:56",
      "content": "<p>single model 0.71, ensembling 0.70 …</p>",
      "rawMarkdown": "single model 0.71, ensembling 0.70 ...",
      "votes": null
    },
    {
      "id": "1670978",
      "postDate": "02/01/2022 03:50:57",
      "content": "<p>Wow, can i ask your score come from hyperparameters, data or post processing sir? i tried lots of experiments but seems nothing works yet. 👀</p>",
      "rawMarkdown": "Wow, can i ask your score come from hyperparameters, data or post processing sir? i tried lots of experiments but seems nothing works yet. 👀",
      "votes": null
    },
    {
      "id": "1670982",
      "postDate": "02/01/2022 03:58:00",
      "content": "<p>all of them i think</p>",
      "rawMarkdown": "all of them i think",
      "votes": null
    },
    {
      "id": "1671180",
      "postDate": "02/01/2022 08:17:29",
      "content": "<p>Wow!!!Could you share sth.?Which model do you use?Yolov5 or something else?</p>",
      "rawMarkdown": "Wow!!!Could you share sth.?Which model do you use?Yolov5 or something else?",
      "votes": null
    },
    {
      "id": "1671673",
      "postDate": "02/01/2022 16:39:01",
      "content": "<p>ensemble create more bounding box. it will increase recall.</p>\n<p>unless each of your model has low FP, it is likely that FP will increase tool.</p>\n<p>i  suggest ensemble + post verification to remove FP. it is like cascade rcnn, there are many stages for propsal generation and roi classification.</p>",
      "rawMarkdown": "ensemble create more bounding box. it will increase recall.\n\nunless each of your model has low FP, it is likely that FP will increase tool.\n\ni  suggest ensemble + post verification to remove FP. it is like cascade rcnn, there are many stages for propsal generation and roi classification.",
      "votes": null
    },
    {
      "id": "1671728",
      "postDate": "02/01/2022 17:23:02",
      "content": "<p>Ensembling + increasing conf works best for me. But I'm moving towards doing exactly that!</p>",
      "rawMarkdown": "Ensembling + increasing conf works best for me. But I'm moving towards doing exactly that!",
      "votes": null
    },
    {
      "id": "1672594",
      "postDate": "02/02/2022 07:22:33",
      "content": "<p>YoloV5's TTA is essentially an ensemble of the model at different inference sizes</p>",
      "rawMarkdown": "YoloV5's TTA is essentially an ensemble of the model at different inference sizes",
      "votes": null
    },
    {
      "id": "1672741",
      "postDate": "02/02/2022 09:11:48",
      "content": "<p>just yolov5</p>",
      "rawMarkdown": "just yolov5",
      "votes": null
    },
    {
      "id": "1673916",
      "postDate": "02/03/2022 05:05:48",
      "content": "<p>I got the similar results.Tracker can not improve my best model（lb0.661），but I am try to find some other ways to get better score and figure out it.</p>",
      "rawMarkdown": "I got the similar results.Tracker can not improve my best model（lb0.661），but I am try to find some other ways to get better score and figure out it.",
      "votes": null
    },
    {
      "id": "1675084",
      "postDate": "02/04/2022 03:02:58",
      "content": "<p>0.659 with higher conf settings of 3 different public models + tracking. my best score right now is a single model that I trained </p>",
      "rawMarkdown": "0.659 with higher conf settings of 3 different public models + tracking. my best score right now is a single model that I trained",
      "votes": null
    },
    {
      "id": "1675093",
      "postDate": "02/04/2022 03:12:38",
      "content": "<p>which one doea you use?Yolov5s6 or m6?</p>",
      "rawMarkdown": "which one doea you use?Yolov5s6 or m6?",
      "votes": null
    },
    {
      "id": "1675096",
      "postDate": "02/04/2022 03:16:43",
      "content": "<p>i think all of them were yolov5s6. my current model is a modified yolov5s6 that I pretrained on another dataset</p>",
      "rawMarkdown": "i think all of them were yolov5s6. my current model is a modified yolov5s6 that I pretrained on another dataset",
      "votes": null
    },
    {
      "id": "1675104",
      "postDate": "02/04/2022 03:27:28",
      "content": "<p>how about talking together?</p>",
      "rawMarkdown": "how about talking together?",
      "votes": null
    },
    {
      "id": "1675106",
      "postDate": "02/04/2022 03:30:39",
      "content": "<p>what do you mean? I am a bit confused. I don't want to reveal too much since it is towards the end of the competition.</p>",
      "rawMarkdown": "what do you mean? I am a bit confused. I don't want to reveal too much since it is towards the end of the competition.",
      "votes": null
    },
    {
      "id": "1675128",
      "postDate": "02/04/2022 04:09:34",
      "content": "<p>I think it is not a steady score to own silver</p>",
      "rawMarkdown": "I think it is not a steady score to own silver",
      "votes": null
    },
    {
      "id": "1675385",
      "postDate": "02/04/2022 08:29:52",
      "content": "<p>You made the topic for \"talking together\"? Interesting, your team is full of five people.</p>",
      "rawMarkdown": "You made the topic for \"talking together\"? Interesting, your team is full of five people.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1668392,
      "author_name": "catchbat",
      "author_url": "",
      "post_date": "01/29/2022 15:21:35",
      "content": "<p>Oh My friends！！！ This is a nice comment</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1668393,
      "author_name": "yuntianzhang",
      "author_url": "",
      "post_date": "01/29/2022 15:22:17",
      "content": "<p>The fusion effect of the two models will be better? Can Yolo series get higher scores by integrating Yolo series?</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1669002,
      "author_name": "rainfalllove",
      "author_url": "",
      "post_date": "01/30/2022 08:37:37",
      "content": "<p>My ensembling  score &lt;&lt; a single yolov5 score😂</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1670966,
      "author_name": "locbaop",
      "author_url": "",
      "post_date": "02/01/2022 03:33:54",
      "content": "<p>my best ensembling score yet is 0.630 with inference size is 3600. In my case, it outperforms all my models in the same resolution inference.</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1670975,
      "author_name": "snaker",
      "author_url": "",
      "post_date": "02/01/2022 03:45:56",
      "content": "<p>single model 0.71, ensembling 0.70 …</p>",
      "votes": null,
      "replies": [
        {
          "id": 1670978,
          "author_name": "locbaop",
          "author_url": "",
          "post_date": "02/01/2022 03:50:57",
          "content": "<p>Wow, can i ask your score come from hyperparameters, data or post processing sir? i tried lots of experiments but seems nothing works yet. 👀</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1670982,
          "author_name": "snaker",
          "author_url": "",
          "post_date": "02/01/2022 03:58:00",
          "content": "<p>all of them i think</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1671180,
          "author_name": "rishengyang",
          "author_url": "",
          "post_date": "02/01/2022 08:17:29",
          "content": "<p>Wow!!!Could you share sth.?Which model do you use?Yolov5 or something else?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1672741,
          "author_name": "snaker",
          "author_url": "",
          "post_date": "02/02/2022 09:11:48",
          "content": "<p>just yolov5</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1673916,
          "author_name": "freshair1996",
          "author_url": "",
          "post_date": "02/03/2022 05:05:48",
          "content": "<p>I got the similar results.Tracker can not improve my best model（lb0.661），but I am try to find some other ways to get better score and figure out it.</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1671673,
      "author_name": "hengck23",
      "author_url": "",
      "post_date": "02/01/2022 16:39:01",
      "content": "<p>ensemble create more bounding box. it will increase recall.</p>\n<p>unless each of your model has low FP, it is likely that FP will increase tool.</p>\n<p>i  suggest ensemble + post verification to remove FP. it is like cascade rcnn, there are many stages for propsal generation and roi classification.</p>",
      "votes": null,
      "replies": [
        {
          "id": 1671728,
          "author_name": "outwrest",
          "author_url": "",
          "post_date": "02/01/2022 17:23:02",
          "content": "<p>Ensembling + increasing conf works best for me. But I'm moving towards doing exactly that!</p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 1672594,
      "author_name": "alexchwong",
      "author_url": "",
      "post_date": "02/02/2022 07:22:33",
      "content": "<p>YoloV5's TTA is essentially an ensemble of the model at different inference sizes</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1675084,
      "author_name": "outwrest",
      "author_url": "",
      "post_date": "02/04/2022 03:02:58",
      "content": "<p>0.659 with higher conf settings of 3 different public models + tracking. my best score right now is a single model that I trained </p>",
      "votes": null,
      "replies": [
        {
          "id": 1675093,
          "author_name": "rishengyang",
          "author_url": "",
          "post_date": "02/04/2022 03:12:38",
          "content": "<p>which one doea you use?Yolov5s6 or m6?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1675096,
          "author_name": "outwrest",
          "author_url": "",
          "post_date": "02/04/2022 03:16:43",
          "content": "<p>i think all of them were yolov5s6. my current model is a modified yolov5s6 that I pretrained on another dataset</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1675104,
          "author_name": "rishengyang",
          "author_url": "",
          "post_date": "02/04/2022 03:27:28",
          "content": "<p>how about talking together?</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1675106,
          "author_name": "outwrest",
          "author_url": "",
          "post_date": "02/04/2022 03:30:39",
          "content": "<p>what do you mean? I am a bit confused. I don't want to reveal too much since it is towards the end of the competition.</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1675128,
          "author_name": "rishengyang",
          "author_url": "",
          "post_date": "02/04/2022 04:09:34",
          "content": "<p>I think it is not a steady score to own silver</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 1675385,
          "author_name": "freshair1996",
          "author_url": "",
          "post_date": "02/04/2022 08:29:52",
          "content": "<p>You made the topic for \"talking together\"? Interesting, your team is full of five people.</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1668388": "What is your best ensembling score?Let's have a talk!",
    "1668392": "Oh My friends！！！ This is a nice comment",
    "1668393": "The fusion effect of the two models will be better? Can Yolo series get higher scores by integrating Yolo series?",
    "1669002": "My ensembling  score << a single yolov5 score😂",
    "1670966": "my best ensembling score yet is 0.630 with inference size is 3600. In my case, it outperforms all my models in the same resolution inference.",
    "1670975": "single model 0.71, ensembling 0.70 ...",
    "1670978": "Wow, can i ask your score come from hyperparameters, data or post processing sir? i tried lots of experiments but seems nothing works yet. 👀",
    "1670982": "all of them i think",
    "1671180": "Wow!!!Could you share sth.?Which model do you use?Yolov5 or something else?",
    "1671673": "ensemble create more bounding box. it will increase recall.\n\nunless each of your model has low FP, it is likely that FP will increase tool.\n\ni  suggest ensemble + post verification to remove FP. it is like cascade rcnn, there are many stages for propsal generation and roi classification.",
    "1671728": "Ensembling + increasing conf works best for me. But I'm moving towards doing exactly that!",
    "1672594": "YoloV5's TTA is essentially an ensemble of the model at different inference sizes",
    "1672741": "just yolov5",
    "1673916": "I got the similar results.Tracker can not improve my best model（lb0.661），but I am try to find some other ways to get better score and figure out it.",
    "1675084": "0.659 with higher conf settings of 3 different public models + tracking. my best score right now is a single model that I trained",
    "1675093": "which one doea you use?Yolov5s6 or m6?",
    "1675096": "i think all of them were yolov5s6. my current model is a modified yolov5s6 that I pretrained on another dataset",
    "1675104": "how about talking together?",
    "1675106": "what do you mean? I am a bit confused. I don't want to reveal too much since it is towards the end of the competition.",
    "1675128": "I think it is not a steady score to own silver",
    "1675385": "You made the topic for \"talking together\"? Interesting, your team is full of five people."
  },
  "source": "meta"
}