Ultralytics YOLOv8

Benchmark Model Rank Results
human-pose-keypoint-estimation-on-coco-val2017YOLOv8x-pose-p6#78AP: 71.6AP50: 91.2
human-pose-keypoint-estimation-on-coco-val2017YOLOv8x-pose#92AP: 69.2AP50: 90.2
human-pose-keypoint-estimation-on-coco-val2017YOLOv8l-pose#94AP: 67.6AP50: 90.0
human-pose-keypoint-estimation-on-coco-val2017YOLOv8m-pose#99AP: 65.0AP50: 88.8
human-pose-keypoint-estimation-on-coco-val2017YOLOv8s-pose#101AP: 60.0AP50: 86.2
human-pose-keypoint-estimation-on-coco-val2017YOLOv8n-pose#104AP: 50.4AP50: 80.1
real-time-object-detection-on-coco-val2017YOLOv8x#31box AP: 53.9FPS (batch 1, GPU in brackets): 283 (A100)
real-time-object-detection-on-coco-val2017YOLOv8l#49box AP: 52.9FPS (batch 1, GPU in brackets): 418 (A100)
real-time-object-detection-on-coco-val2017YOLOv8m#80box AP: 50.2FPS (batch 1, GPU in brackets): 546 (A100)
real-time-object-detection-on-coco-val2017YOLOv8s#110box AP: 44.9FPS (batch 1, GPU in brackets): 833 (A100)
real-time-object-detection-on-coco-val2017YOLOv8n#138box AP: 37.3FPS (batch 1, GPU in brackets): 1010 (A100)