How to reduce false positives in object detection

1. How do you reduce false positive object detection?
2. How do you reduce false positives in yolov5?
3. How do you reduce false positives in YOLOv3?

How do you reduce false positive object detection?

False Positive is reduced by training on weakly labelled negative samples. Negative examples are also used in Contrastive Learning type unsupervised methods.

How do you reduce false positives in yolov5?

Just add them as negative images to your dataset. Simply put (background)images with no label or empty label in your dataset. It will decrease the false positives.

How do you reduce false positives in YOLOv3?

To reduce false positive rate, we proposed an automatic polyp detection algorithm, combined with YOLOv3 architecture and active learning. This algorithm was trained with colonoscopy videos/images from 283 subjects.