This is a quantized version of Ultralytics YOLOv8 optimized for Synaptics hardware and LiteRT (formerly TensorFlow Lite). It enables real-time object detection on mobile and embedded devices. The model is a direct port of the popular YOLO object detection family with reduced precision for improved inference speed and lower memory usage.
In the Other AI space, Yolo takes a focused approach. It focuses on deploying fast and efficient object detection on edge devices and mobile hardware. Yolo is an open-source project aimed at embedded systems and mobile AI developers. Yolo is open source under the Open Source license. It runs on the web and API.
Behind Yolo is Synaptics, and it first shipped in 2024. Among its 3 catalogued features are object detection, quantized weights, and liteRT compatible.
Summary written by a language model from the project’s public pages.
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