0101011/yolo-object-recognition-opencv-keras
YOLO v3 object detection trained on COCO with CLI interface. OpenCV and TensorFlow Keras implementations and comparison.
This tool helps you automatically identify and label common objects within your images or video frames. You provide an image or video, and it outputs the same visual content with bounding boxes and labels around detected items like people, cars, or animals. It's designed for anyone needing to quickly analyze visual media for object presence.
No commits in the last 6 months.
Use this if you need to quickly detect and classify a wide range of everyday objects in your photos or videos using a straightforward command-line interface.
Not ideal if you need to detect very specific, niche objects not covered by a general-purpose dataset like COCO, or if you require an interactive graphical user interface.
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Python
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Last pushed
Oct 12, 2021
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