Object Detection on Real (test)
88.4mAP@0.50RF-DETR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| RF-DETRTraining Data Composition=real + FLUX + 3d-model-sim, Number of Real Samples=242026.04 | 88.4 | 82.5 | |
| RF-DETRTraining Data Composition=real + 3d-model-sim, Number of Real Samples=242026.04 | 87.9 | 81.8 | |
| RF-DETRTraining Data Composition=real + FLUX, Number of Real Samples=242026.04 | 85.9 | 79.9 | |
| RF-DETRTraining Data Composition=real only, Number of Real Samples=242026.04 | 83.1 | 77.1 | |
| RF-DETRTraining Data Composition=real + FLUX + 3d-model-sim, Number of Real Samples=82026.04 | 79.1 | 72.9 | |
| RF-DETRTraining Data Composition=real + 3d-model-sim, Number of Real Samples=82026.04 | 77.8 | 71.3 | |
| RF-DETRTraining Data Composition=real + FLUX, Number of Real Samples=82026.04 | 70.9 | 64.6 | |
| RF-DETRTraining Data Composition=real only, Number of Real Samples=82026.04 | 62.9 | 57.4 | |
| RF-DETRTraining Data Composition=FLUX, Number of Real Samples=242026.04 | 57.7 | 51.1 | |
| RF-DETRTraining Data Composition=FLUX, Number of Real Samples=82026.04 | 48.8 | 42.8 | |
| RF-DETRTraining Data Composition=3d-model-sim2026.04 | 26.6 | 24.2 |