We have been running evaluation commands for a Nvdia orin nx 8GB using YOLOv8s model at different image resolutions with the aim of achieving a mean Average Precision (mAP) between 50-95 on the COCO validation 2017 dataset.
$ yolo val model=yolov8s.pt data=coco.yaml batch=1 imgsz=640
$ yolo val model=yolov8s.pt data=coco.yaml batch=1 imgsz=1080
$ yolo val model=yolov8s.pt data=coco.yaml batch=1 imgsz=3840
However, we have noticed that the mAP value droop across all three resolutions (640x480, 1920x1080, and 2160x3840).
We initially expected that increasing the resolution would result in a higher mAP value. What are your thoughts on this observation?