In this Object Detection Tutorial, we’ll focus on Deep Learning Object Detection as Tensorflow uses Deep Learning for computation. Object Detection can be done via multiple ways: It is commonly used in applications such as image retrieval, security, surveillance, and advanced driver assistance systems (ADAS). ![]() It allows for the recognition, localization, and detection of multiple objects within an image which provides us with a much better understanding of an image as a whole. Object Detection is the process of finding real-world object instances like car, bike, TV, flowers, and humans in still images or Videos. ![]() It will also provide you with the details on how to use Tensorflow to detect objects in the deep learning methods. This Edureka video will provide you with a detailed and comprehensive knowledge of TensorFlow Object detection and how it works.
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