Model card
YOLOv10-X.
Tsinghua Universityopen-sourceCNN (Real-time)
NMS-free YOLO with consistent dual assignments. 54.4 mAP on COCO val. CVPR 2024.
§ 02 · Benchmarks
Every benchmark YOLOv10-X has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | COCO | Computer Vision · Object Detection | mAP | 57.4% | #9 | — | source ↗ |
| 02 | COCO | Computer Vision · Object Detection | mAP | 54.4% | #12 | — | source ↗ |
| 03 | COCO | Computer Vision · Object Detection | map | 54.4% | #18 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 04 · Papers
1 paper with results for YOLOv10-X.
- 2024-05-23· 1 result
YOLOv10: Real-Time End-to-End Object Detection
§ 05 · Related models
Other Tsinghua University models scored on Codesota.
§ 06 · Sources & freshness
Where these numbers come from.
github-readme
1
result
arxiv
1
result
pwc-dump
1
result
0 of 3 rows marked verified.