Shypd.aiThe largest open index of AI toolsYOLO_Object_Detection is an Open Source tool that provides code for real-time object detection and classification using the YOLO algorithm. It offers functionalities for training new models and integrating into Python applications.
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YOLO_Object_Detection is an open-source code repository associated with a video tutorial by Siraj Raval, demonstrating real-time object detection and classification using the YOLO (You Only Look Once) algorithm. The repository provides the necessary code and instructions for setting up, configuring, and running YOLO models. Users can perform object detection on images and video files, train new models with custom datasets, and fine-tune existing models. It supports various configurations, including tiny YOLO, and allows for integration into other Python applications. The tool also offers options for saving trained graphs to protobuf files for deployment on mobile devices, making it a versatile resource for developers and researchers in computer vision.
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