Abstract
In recent years, deep learning has been used in image classification, object tracking, action recognition and scene labeling. Traditionally, Image Processing techniques were used to solve any Computer Vision problems occurred in an artificial intelligence system. However, in real-time identification, image processing cannot be used. This is where Deep Learning concepts are applied. We built a simple Convolutional Neural Network for object detection. The model is trained and multiple test cases are implemented in the TensorFlow environment so as to obtain accurate results
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