COCO Detection
by Lin et al. / Microsoft · open-source · Last verified 2026-03-17
COCO Detection is the standard benchmark for object detection and instance segmentation, featuring 330,000 images with over 1.5 million annotated instances across 80 object categories. Mean Average Precision (mAP) at various IoU thresholds is the primary metric.
https://cocodataset.org ↗C+
C+—Average
Adoption: A+Quality: A+Freshness: BCitations: FEngagement: F
Specifications
- License
- CC BY 4.0
- Pricing
- open-source
- Capabilities
- evaluation, object-detection, instance-segmentation
- Integrations
- Use Cases
- model-evaluation, computer-vision, robotics
- API Available
- No
- Evaluated Models
- dino-detr, grounding-dino, co-detr, internimage-xl
- Metrics
- map, map-50, map-75
- Methodology
- Models evaluated on the 2017 val set (5,000 images). mAP averaged over IoU thresholds from 0.5 to 0.95 in steps of 0.05. mAP@50 and mAP@75 reported separately for comparison.
- Last Run
- 2026-01-10
- Tags
- object-detection, instance-segmentation, vision, map, coco
- Added
- 2026-03-17
- Completeness
- 80%
Index Score
56Adoption
95
Quality
90
Freshness
60
Citations
0
Engagement
0