Replaces standard YOLO architectures with a high-performance detection method utilizing Neural Architecture Search. Implements RepGFPN and ZeroHead technologies to achieve superior accuracy-to-latency ratios on edge devices.
Tech Stack
PythonAI, ML & Data
Why DAMO-YOLO?
• State-of-the-art latency
• Advanced distillation techniques
• Flexible scaling options
Limitations
• Complex configuration
• Requires significant GPU resources for training
• Documentation is research-heavy
3/5/2026
Last Update
401
Forks
51
Issues
Apache-2.0
License
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