Answers.Body: <p>Resolved it by increasing the epoch.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-07-19T17:20:14.660Z
Answers.LastActivityDate: 2023-07-19T17:20:14.660Z
Answers.UserDisplayName: bibinwilson
Body: <p>I am using YOLOv7 trained on custom dataset, and using the model weights after converting to ONNX for CVAT annotation. There it's only predicting few small objects. Is there any limit on small object detection in YOLOv7. In every image, it's only predicting first 3-4 characters in the plate.</p>
  <p><a href="https://i.sstatic.net/Ih5DB.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/Ih5DB.png" alt="enter image description here" /></a></p>
  <p>As explained in the question <a href="https://stackoverflow.com/questions/75507636/is-there-any-limit-to-detected-objects-in-yolov7">https://stackoverflow.com/questions/75507636/is-there-any-limit-to-detected-objects-in-yolov7</a>, while converting to ONNX, I modified the 'topk-all' to 400, but still no change in result</p>
  
Tags: <computer-vision><object-detection><yolo>
Title: Why YOLOv7 not detecting small objects
UserDisplayName: bibinwilson
ThreadText: # Why YOLOv7 not detecting small objects
  
  (Asked by: username_0 on 2023-07-14)
  
  I am using YOLOv7 trained on custom dataset, and using the model weights after converting to ONNX for CVAT annotation. There it's only predicting few small objects. Is there any limit on small object detection in YOLOv7. In every image, it's only predicting first 3-4 characters in the plate.
  
  [![enter image description here](https://i.sstatic.net/Ih5DB.png)](https://i.sstatic.net/Ih5DB.png)
  
  As explained in the question <https://stackoverflow.com/questions/75507636/is-there-any-limit-to-detected-objects-in-yolov7>, while converting to ONNX, I modified the 'topk-all' to 400, but still no change in result
  
  **Tags:** computer-vision, object-detection, yolo
  
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  ## 1 answers
  
  ### Answer by username_0 on 2023-07-19. Score: 0 | Accepted answer
  
  Resolved it by increasing the epoch.
  
  
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