matlab-deep-learning/Object-Detection-Using-Pretrained-YOLO-v2
YOLO v2 prediction and training in MATLAB for Object Detection with darknet19 & tinyYOLOv2 base networks
This helps computer vision engineers or researchers quickly identify and locate specific objects within images using pre-trained models. You input an image, and the system outputs bounding boxes, confidence scores, and labels for detected objects. It's designed for those working with visual data who need to automate object recognition tasks.
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Use this if you need to rapidly detect common objects in images, such as people, cars, or animals, using a robust, pre-trained deep learning model.
Not ideal if your primary goal is to train a model from scratch with custom data without leveraging existing YOLO v2 architectures in MATLAB.
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Feb 01, 2024
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