【Hackathon 8th No.37】在 PaddleYOLO 中复现 YOLO11 模型 by flytocc · Pull Request #267 · PaddlePaddle/PaddleYOLO (original) (raw)

• 【Hackathon 8th】开源贡献个人挑战赛 Paddle#71310
• No.37：YOLOv11 模型复现
• RFC: 【Hackathon 8th No.37】 Add YOLO11 RFC for PaddleYOLO community#1093

Eval精度（converted from official）

yolo11n

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.394 # official 39.4 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.553 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.428 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.199 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.433 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.569 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.323 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.540 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.598 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.370 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.663 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.782

yolo11s

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.469 # official 46.9 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.639 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.506 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.291 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.516 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.644 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.361 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.600 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.653 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.471 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.713 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.813

yolo11m

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.516 # official 51.5 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.685 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.558 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.335 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.572 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.679 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.385 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.642 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.692 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.516 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.752 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.839

yolo11l

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.533 # official 53.3 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.701 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.582 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.356 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.591 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.693 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.395 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.657 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.706 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.528 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.765 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.854

yolo11x

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.547 # official 54.6 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.717 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.596 Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.378 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.597 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.703 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.401 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.667 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.715 Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.559 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.768 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.855