zzh8829/yolov3-tf2
YoloV3 Implemented in Tensorflow 2.0
This project helps you identify and locate multiple objects within images or video streams, providing bounding boxes and labels for each detected item. For example, it can tell you that a picture contains a 'person' at certain coordinates and a 'car' at others. It's designed for anyone needing to automate object recognition in visual data, from security analysts monitoring feeds to researchers analyzing biological samples.
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Use this if you need to automatically detect and classify objects in real-time video or still images, either by using pre-trained models or training a custom detector for specific items.
Not ideal if you only need image classification (identifying the dominant object or scene in an image) rather than locating multiple distinct objects.
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Aug 30, 2024
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