Object detection is a technique related to Computer Vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Small objects detection is a challenging task in computer vision due to its limited resolution and information. In this article we explore Feature Pyramid Networks for small object detection and Super Resolution GANs for data augmentation and performance improvements.
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