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Object detection is one of the widely researched topics inside computer vision. To define it in simple terms, it is the task of identifying the regions containing relevant objects from rest of the scene inside a digital image.

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Pruning is a technique of neural network compression by removal of redundant or low contribution nodes and connections from the network architecture. Pruning can be applied for optimizing the size of and computations inside a neural network while ensuring that the performance of the model does not deteriorate in a significant way.

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