YOLOv10
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A to Z
- A · App
- No
- B · Built By
- Tsinghua
- C · CEO & Politics
- N/A (academic research) — No public partisan activity documented
- D · Date
- 2024
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- USA
- K · Key Staffers
- Ao Wang (Lead author), Guiguang Ding (Senior author)
- L · Languages
- English-primary
- M · Model Type
- Vision/CV
- N · Safety Issues
- Computer-vision risks: dataset bias, domain shift, privacy concerns in images, and unreliable performance outside benchmark-like settings.
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights, AGPL-3.0 license)
- Q · AIDb Rating
- [UNKNOWN]
- R · What Makes It Special
- Tsinghua's YOLOv10, a real-time end-to-end object detector that drops non-maximum suppression post-processing through consistent dual assignments in training and redesigns YOLO components for efficiency; six sizes from N (2.3M parameters) to X (29.5M), and its authors report YOLOv10-S is 1.8x faster than RT-DETR-R18 at similar COCO accuracy.
- S · Stock / Status
- Research / open-source project
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- [UNKNOWN]
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Vision/CV from Tsinghua, released 2024.
Data completeness 81% · Last verified 2026-05-12 · Primary source ↗
Cite this
“YOLOv10.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/yolov10.html