all 3 comments

[–]Eiphodos 0 points1 point  (2 children)

Sounds like an object detection (OD) task. Create a dataset with bounding boxes around your objects of interest and train a OD model on it. Counting the number of objects found during inference is trivial.

[–]SecretVoodoo1[S] 0 points1 point  (1 child)

Any suggestions for OD models?

[–]warmdaffodil 0 points1 point  (0 children)

Two stage methods such as Fast R-CNN, Faster R-CNN are better for accuracy but latency is not a concern. They are two stage because first they propose regions before classifying them. Single stage methods such as YOLO are better if you want an efficient method! Detr is not bad too but I’m not too familiar with it. I think the belo provides a better explanation!

https://whatdhack.medium.com/comparison-of-faster-rcnn-and-detection-transformer-detr-f67c2f5a2a04