Object Detection on Weed Dataset 2024
53.7PrecisionDINO*-YOLO26*
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DINO*-YOLO26*Backbone=Fine-tuned DINO-ViT, Training loss=DFL loss2026.02 | 53.7 | 40.1 | 41.5 | 19.8 | |
| DINO-YOLO26*Backbone=DINOv3-pretrained ViT, Training loss=DFL loss2026.02 | 53.6 | 38.8 | 40.5 | 19.5 | |
| YOLO26*Training loss=DFL loss2026.02 | 44.4 | 34.9 | 33.9 | 16.2 | |
| YOLO26Training loss=Standard2026.02 | 42.8 | 30.8 | 29.6 | 14.6 |