Object Detection on Rice-Leaf
0.678PrecisionTCLeaf-Net
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| TCLeaf-Nettraining_mode=trained from scratch2025.12 | 0.678 | 0.536 | 0.573 | 0.349 | 0.599 | |
| YOLOv8Ltraining_mode=trained from scratch2025.12 | 0.659 | 0.549 | 0.566 | 0.346 | 0.599 | |
| YOLOv5Ltraining_mode=trained from scratch2025.12 | 0.648 | 0.55 | 0.56 | 0.326 | 0.595 | |
| YOLOv9Ctraining_mode=trained from scratch2025.12 | 0.647 | 0.553 | 0.561 | 0.338 | 0.596 | |
| YOLOv3Ltraining_mode=trained from scratch2025.12 | 0.632 | 0.521 | 0.536 | 0.331 | 0.572 | |
| YOLO12Xtraining_mode=trained from scratch2025.12 | 0.619 | 0.545 | 0.57 | 0.343 | 0.58 | |
| YOLO12Ltraining_mode=trained from scratch2025.12 | 0.613 | 0.546 | 0.559 | 0.34 | 0.578 | |
| YOLO11Ltraining_mode=trained from scratch2025.12 | 0.602 | 0.526 | 0.54 | 0.333 | 0.562 | |
| RTDETR-R101training_mode=trained from scratch2025.12 | 0.553 | 0.471 | 0.47 | 0.281 | 0.509 | |
| RTDETR-Xtraining_mode=trained from scratch2025.12 | 0.55 | 0.447 | 0.448 | 0.278 | 0.493 | |
| YOLOv10Ltraining_mode=trained from scratch2025.12 | 0.539 | 0.486 | 0.466 | 0.267 | 0.511 | |
| RTDETR-R50training_mode=trained from scratch2025.12 | 0.527 | 0.446 | 0.452 | 0.276 | 0.483 | |
| RTDETR-Ltraining_mode=trained from scratch2025.12 | 0.521 | 0.5 | 0.463 | 0.288 | 0.511 | |
| YOLOv6Ltraining_mode=trained from scratch2025.12 | 0.508 | 0.464 | 0.464 | 0.268 | 0.485 |