Object Detection using Deep Learning

Object detection has become an important task for various purposes in our daily lives. Machine learning techniques have been used for this task from earlier but they are used for the classification of image based species to extract the feature set. This task of deciding the feature set helps to decide the desired object detection. To overcome the object classification problem, this paper proposes a transfer learning-based deep learning method. We propose an AI based system to detect the objects. The system uses computer vision using OpenCV to process the feed from the camera. Pre-trained model MobileNet SSD (Single Shot Detector) is used to detect the objects. The model is trained on MS COCO image dataset.

Keywords: Object detection, OpenCV, MobileNet SSD, MS COCO image dataset