/Deep_learning_FCN_RoboND

The main objective is to Design a Fully Convolutional Network (FCN) for semantic segmentation and Train the net for a given/recorded dataset from a quad-simulator, which contains mainly of target (woman in red), people, objects (buildings, trees, etc.) and the quad copter, to define the special information of the target and people from quad’ front camera. Then Test the model on the simulator.

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