This Deep Learning tutorial will take you through the TensorFlow code to perform object detection in an image. You will understand what is object detection API, what are the libraries required for object detection, what is a COCO dataset and at the end, we will implement a code to detect objects in few images. TensorFlow object detection API is an open source framework built on top of TensorFlow that makes it easy to construct, train and deploy object detection models and also it provides a collection of detection models pre-trained on the COCO dataset, the Kitti dataset, and the Open Images dataset. One among the many detection models is the combination of single shot detectors (SSDs) and MobileNets architecture. An example of this model is shown in this Deep Learning Tutorial. Now, lets get started and understand how object detection using TensorFlow works. Course Length: 12:08 Source: Simplilearn
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