YOLOv9: Advancing the YOLO Legacy

[@aesthetic6772]

I'm working on a project where a small object I'm detecting,so which model I can prefer??

[@LearnOpenCV]

For your specific use-case, a single object detector alone might not give the best possible results for small object detection. Hence, try adding a SAHI component to your object detection pipeline. This sliding window approach for global context sharing, helps a lot. You can also check out our video on the SAHI technique: kzbin.info/www/bejne/i6aym32BrdNgg5o

[@NeuralAIM]

*384*x640 20ms (yolo v8) vs *640*x640 30ms (yolo v9) - Mmm WHY V9 slower than V8?! p.s. check resolution 1:52 ^ )

[@LearnOpenCV]

You are correct! v8 infers on smaller image size while v9 infers on larger. The other point on layer and model optimisation is also valid.