Object detection is detecting and recognizing the object. It is one of the common applications in computer vision problems (like traffic signals, people tracking, vehicle detection, etc...). In this repo, I develop real-time object detection with pre-trained models. These are YOLO version 3 and SSD MobileNet version 3. And I used coco large dataset for detecting labels, which are a total of 80 labels.
Yolo is one of the pre-trained model for object detection. It has been used to several object detection applications. It works based on CNN(Convolutional Neural Network).
mobilenet is also pre-trained model for object detection. The SSD(Single Shot Detector) object detection model used in Mobilenet. It can be detect the object in fast and optimized for all mobille devices.
the model and config is also provided in this repo here.
