Yolov6 is a web-based application that allows users to perform object detection on images using the YOLOv6 model. Users can upload images and receive results with detected objects highlighted. It is designed for machine learning practitioners and those interested in computer vision.
Yolov6 sits in PulseGate's Computer vision, OCR & document AI category. It focuses on detecting and identifying objects in images without needing to install software locally. It is built as a consumer product for machine learning practitioners. Yolov6 is free to use. It ships for the web.
nateraw builds and maintains Yolov6, and it first shipped in 2023. Key capabilities include object detection, image upload, and bounding box visualization.
Summary written by a language model from the project’s public pages.
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