Object Detection on Weed Dataset 2025
89.6PrecisionDINO-YOLO26*
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DINO-YOLO26*Backbone=DINOv3-pretrained ViT, Training loss=DFL loss2026.02 | 89.6 | 87.2 | 92.3 | 72.3 | |
| DINO*-YOLO26*Backbone=Fine-tuned DINO-ViT, Training loss=DFL loss2026.02 | 88.6 | 87.7 | 92.2 | 71.4 | |
| YOLO26*Training loss=DFL loss2026.02 | 86.8 | 84.1 | 90.3 | 69.4 | |
| YOLO26Training loss=Standard2026.02 | 81.8 | 81 | 86.9 | 66.2 |