tensorflow-yolo-v3 and yolov3-tf2
These two TensorFlow-based YOLOv3 implementations are competitors, with A being a more modern and actively developed option as it utilizes TensorFlow 2.0, while B is built on the older TF-Slim.
About tensorflow-yolo-v3
mystic123/tensorflow-yolo-v3
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
This project helps computer vision engineers and researchers quickly integrate and test the YOLO v3 object detection model. You provide an image, and it outputs the same image with detected objects outlined by bounding boxes and labeled. It's ideal for those developing or evaluating object detection capabilities for various applications.
About yolov3-tf2
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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