Real Time Object Detection On Coco
Metriken
FPS (V100, b=1)
box AP
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | FPS (V100, b=1) | box AP |
|---|---|---|
| yolov6-v3-0-a-full-scale-reloading | 98 | 50.3 |
| pp-yoloe-an-evolved-version-of-yolo | 78 | 54.0 |
| deim-detr-with-improved-matching-for-fast | 78 (T4) | - |
| pp-yoloe-an-evolved-version-of-yolo | - | 49.8 |
| parallel-residual-bi-fusion-feature-pyramid | 31 | 56.9 |
| yolov11-an-overview-of-the-key-architectural | 212 (T4) | 51.5 |
| you-only-learn-one-representation-unified | 37 | 54.8 |
| end-to-end-object-detection-with-transformers | 26 | 42 |
| detrs-beat-yolos-on-real-time-object | 40 (T4) | 56.3 |
| yolov11-an-overview-of-the-key-architectural | 161 (T4) | 53.4 |
| multi-branch-auxiliary-fusion-yolo-with-re | - | 47.4 |
| deim-detr-with-improved-matching-for-fast | 78 (T4) | 59.5 |
| yolov10-real-time-end-to-end-object-detection | - | 54.4 |
| d-fine-redefine-regression-task-in-detrs-as | 287 (T4) | 50.7 |
| you-only-learn-one-representation-unified | 49 | 52.6 |
| you-only-learn-one-representation-unified | 47 | 54.1 |
| parallel-residual-bi-fusion-feature-pyramid | 94 | 53.3 |
| detrs-beat-yolos-on-real-time-object | 114 (T4) | 53.0 |
| yolox-exceeding-yolo-series-in-2021 | 62.5 | 50.4 |
| damo-yolo-a-report-on-real-time-object | 397 | 42 |
| yolov12-a-breakdown-of-the-key-architectural | 610 (T4) | 40.6 |
| d-fine-redefine-regression-task-in-detrs-as | 178 (T4) | 52.3 |
| yolov12-a-breakdown-of-the-key-architectural | 206 (T4) | 52.5 |
| yolov6-v3-0-a-full-scale-reloading | 175 | 50.0 |
| multi-branch-auxiliary-fusion-yolo-with-re | - | 42.4 |
| yolov10-real-time-end-to-end-object-detection | - | 46.8 |
| yolov6-a-single-stage-object-detection | 26 | 57.2 |
| yolov9-learning-what-you-want-to-learn-using | - | 51.4 |
| yolov10-real-time-end-to-end-object-detection | - | 53.4 |
| pp-yoloe-an-evolved-version-of-yolo | 78 | 52.9 |
| yolov3-an-incremental-improvement | - | 33.0 |
| yolov11-an-overview-of-the-key-architectural | 667 (T4) | 39.5 |
| yolov12-a-breakdown-of-the-key-architectural | 85 (T4) | 55.2 |
| damo-yolo-a-report-on-real-time-object | 325 | 46 |
| pp-yoloe-an-evolved-version-of-yolo | 45 | 54.7 |
| yolov9-learning-what-you-want-to-learn-using | - | 53.0 |
| pp-yoloe-an-evolved-version-of-yolo | 123 | 51.0 |
| deim-detr-with-improved-matching-for-fast | 287 (T4) | 49.0 |
| yolov4-optimal-speed-and-accuracy-of-object | 38 | 41.2 |
| yolov10-real-time-end-to-end-object-detection | - | 52.7 |
| 0-1-deep-neural-networks-via-block-coordinate | 124 (T4) | 57.1 |
| rtmdet-an-empirical-study-of-designing-real | - | 52.8 |
| yolov12-a-breakdown-of-the-key-architectural | 148 (T4) | 53.7 |
| multi-branch-auxiliary-fusion-yolo-with-re | - | 51.2 |
| damo-yolo-a-report-on-real-time-object | 126 | 50.8 |
| deim-detr-with-improved-matching-for-fast | 124 (T4) | 54.7 |
| yolov7-trainable-bag-of-freebies-sets-new | 114 | 53.1 |
| yolov7-trainable-bag-of-freebies-sets-new | 44 | 56.6 |
| d-fine-redefine-regression-task-in-detrs-as | 124 (T4) | 54.0 |
| yolov6-v3-0-a-full-scale-reloading | 98 | 52.8 |
| yolov7-trainable-bag-of-freebies-sets-new | 36 | 56.8 |
| yolov9-learning-what-you-want-to-learn-using | - | 55.6 |
| yolov9-learning-what-you-want-to-learn-using | - | 55.0 |
| d-fine-redefine-regression-task-in-detrs-as | 287 (T4) | 48.5 |
| yolov9-learning-what-you-want-to-learn-using | - | 46.8 |
| yolov5-6d-advancing-6-dof-instrument-pose | 6.3 | 28.0 |
| d-fine-redefine-regression-task-in-detrs-as | 178 (T4) | 55.1 |
| yolov9-learning-what-you-want-to-learn-using | - | 51.1 |
| yolov10-real-time-end-to-end-object-detection | - | 39.5 |
| yolov9-learning-what-you-want-to-learn-using | - | 52.5 |
| yolov11-an-overview-of-the-key-architectural | 88 (T4) | 54.7 |
| parallel-residual-bi-fusion-feature-pyramid | 113 | 51.8 |
| yolov7-trainable-bag-of-freebies-sets-new | 84 | 54.9 |
| parallel-residual-bi-fusion-feature-pyramid | 70 | 52.5 |
| detrs-beat-yolos-on-real-time-object | 74 (T4) | 54.3 |
| d-fine-redefine-regression-task-in-detrs-as | 78 (T4) | 55.8 |
| yolov7-trainable-bag-of-freebies-sets-new | 56 | 56 |
| yolov6-v3-0-a-full-scale-reloading | 779 | 37.5 |
| yolov11-an-overview-of-the-key-architectural | 400 (T4) | 47.0 |
| deim-detr-with-improved-matching-for-fast | 78 (T4) | 56.5 |
| yolov6-v3-0-a-full-scale-reloading | 339 | 45.0 |
| you-only-learn-one-representation-unified | 49 | 53 |
| yolov4-optimal-speed-and-accuracy-of-object | 31 | 43.0 |
| you-only-learn-one-representation-unified | 30 | 55.4 |
| yolov4-optimal-speed-and-accuracy-of-object | 23 | 43.5 |
| yolov10-real-time-end-to-end-object-detection | - | 51.3 |
| deim-detr-with-improved-matching-for-fast | 178 (T4) | 52.7 |
| damo-yolo-a-report-on-real-time-object | 233 | 49.2 |
| yolov12-a-breakdown-of-the-key-architectural | 383 (T4) | 48.0 |
| detrs-beat-yolos-on-real-time-object | 74 (T4) | 54.8 |
| d-fine-redefine-regression-task-in-detrs-as | 78 (T4) | 59.3 |
| yolov9-learning-what-you-want-to-learn-using | - | 46.7 |