{
  "id": 249574,
  "title": "covid19 detection: classfication model + detection model",
  "url": "/competitions/siim-covid19-detection/discussion/249574",
  "author_name": "",
  "post_date": "2021-06-29T02:36:51.725907800Z",
  "votes": 9,
  "comment_count": 1,
  "views": 0,
  "content": "<p>the study level: <br>\n       use classification model to train,you can try these models : EfficientNetb4; EfficientNetb7;<br>\nEfficientNetV2;  ViT;  ResNet101V2</p>\n<p>the image level:<br>\n      use detection model to train,you can try these models : RetinaNet;  Yolov3;  Yolov4;  Yolov5;  Faster-RCNN;  Cascade-RCNN;  EfficientDet</p>\n<p>Finally merge the forecast results and generate  submission.csv</p>",
  "messages": [
    {
      "id": "1368901",
      "postDate": "06/29/2021 02:36:51",
      "content": "<p>the study level: <br>\n       use classification model to train,you can try these models : EfficientNetb4; EfficientNetb7;<br>\nEfficientNetV2;  ViT;  ResNet101V2</p>\n<p>the image level:<br>\n      use detection model to train,you can try these models : RetinaNet;  Yolov3;  Yolov4;  Yolov5;  Faster-RCNN;  Cascade-RCNN;  EfficientDet</p>\n<p>Finally merge the forecast results and generate  submission.csv</p>",
      "rawMarkdown": "the study level: \n       use classification model to train,you can try these models : EfficientNetb4; EfficientNetb7;\nEfficientNetV2;  ViT;  ResNet101V2\n\nthe image level:\n      use detection model to train,you can try these models : RetinaNet;  Yolov3;  Yolov4;  Yolov5;  Faster-RCNN;  Cascade-RCNN;  EfficientDet\n\n\n Finally merge the forecast results and generate  submission.csv",
      "votes": null
    },
    {
      "id": "1378252",
      "postDate": "07/06/2021 11:59:08",
      "content": "<p>Hi, I think we can classify the image by using YOLOv5 with multiple classes. Will it be worse than other classification models what you mentioned?</p>",
      "rawMarkdown": "Hi, I think we can classify the image by using YOLOv5 with multiple classes. Will it be worse than other classification models what you mentioned?",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1378252,
      "author_name": "baekseungyun",
      "author_url": "",
      "post_date": "07/06/2021 11:59:08",
      "content": "<p>Hi, I think we can classify the image by using YOLOv5 with multiple classes. Will it be worse than other classification models what you mentioned?</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1368901": "the study level: \n       use classification model to train,you can try these models : EfficientNetb4; EfficientNetb7;\nEfficientNetV2;  ViT;  ResNet101V2\n\nthe image level:\n      use detection model to train,you can try these models : RetinaNet;  Yolov3;  Yolov4;  Yolov5;  Faster-RCNN;  Cascade-RCNN;  EfficientDet\n\n\n Finally merge the forecast results and generate  submission.csv",
    "1378252": "Hi, I think we can classify the image by using YOLOv5 with multiple classes. Will it be worse than other classification models what you mentioned?"
  },
  "source": "meta"
}