ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
What it does
YOLOv5 is a powerful open-source tool that teaches computers to instantly recognize and locate objects within images and video — think automatically spotting pedestrians in traffic footage or identifying products on a store shelf in real time. It's one of the fastest and most accurate tools of its kind, and it works across a wide range of devices, from cloud servers to iPhones.
Why it matters for PMs
With over 56,000 stars and 17,000 forks on GitHub, YOLOv5 is essentially the industry-standard starting point for any product that needs to 'see' and understand the world through a camera, making it a key building block for products in retail, autonomous vehicles, security, and healthcare. Teams that adopt it can ship vision-powered features dramatically faster than building from scratch, lowering the cost and timeline of entering the computer vision market.
Early stage — limited signal data
Score updated Feb 18, 2026
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