{
  "id": 307659,
  "title": "my forked unselected  notebook with 0.688, however",
  "url": "/competitions/tensorflow-great-barrier-reef/discussion/307659",
  "author_name": "dragon zhang",
  "post_date": "2022-02-15T06:12:02.373000",
  "votes": 4,
  "comment_count": 0,
  "views": 0,
  "content": "<p><a href=\"https://www.kaggle.com/dragonzhang/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5\" target=\"_blank\">https://www.kaggle.com/dragonzhang/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5</a><br>\nusing ensemble with different models and  image sizes.<br>\nsingle model got 0.677, which I selected, Its score similar to public test dataset.</p>",
  "messages": [
    {
      "id": 1690854,
      "postDate": "2022-02-15T06:12:02.373Z",
      "content": "<p><a href=\"https://www.kaggle.com/dragonzhang/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5\" target=\"_blank\">https://www.kaggle.com/dragonzhang/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5</a><br>\nusing ensemble with different models and  image sizes.<br>\nsingle model got 0.677, which I selected, Its score similar to public test dataset.</p>",
      "rawMarkdown": "\nhttps://www.kaggle.com/dragonzhang/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5\n\nusing ensemble with different models and  image sizes.\n\nsingle model got 0.677, which I selected, Its score similar to public test dataset.",
      "votes": 4
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1690854": "\nhttps://www.kaggle.com/dragonzhang/ensembling-boxes-nms-soft-nms-nmw-wbf-yolov5\n\nusing ensemble with different models and  image sizes.\n\nsingle model got 0.677, which I selected, Its score similar to public test dataset."
  }
}