Yolo-9000
Visit ToolYOLO9000 is an open-source real-time object detection system that can identify 9000 classes. It is designed for research and development in computer vision applications.
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YOLO9000 is an open-source real-time object detection system that can identify 9000 classes. It is designed for research and development in computer vision applications.
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About
YOLO9000 is an open-source project providing a real-time object detection system capable of identifying a vast array of 9000 different object classes. This tool, available on GitHub, is ideal for researchers and developers in the computer vision field. It offers instructions for setting up and running the detection system on various operating systems including Ubuntu/Linux/Mac OS and Windows. Users can configure it for CPU or GPU support, with GPU acceleration significantly improving inference speed. The repository also includes guidance on making videos from detected objects and converting weights to Keras, making it a versatile resource for advanced object detection tasks.
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Pricing & Plans
Open Source
Free
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