philipperemy/yolo-9000
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
This project helps anyone who needs to automatically identify and categorize objects within images or video streams in real-time. You provide an image or video file, and it outputs the same image or video with bounding boxes drawn around detected objects, along with their labels and confidence scores. This is ideal for applications requiring rapid identification across a vast range of possible objects.
1,203 stars. No commits in the last 6 months.
Use this if you need to quickly and accurately detect a wide variety of objects in images or live video feeds.
Not ideal if you need to analyze highly specialized objects not covered by a general-purpose dataset or if you lack a powerful GPU for real-time performance.
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Mar 24, 2021
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