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Object detection to Instance segmentation: Learn to apply several algorithms along the way


In the recent times, several meta-algorithms in deep learning have opened up the possibility to use Computer Vision in various applications. Particularly in the field of Object detection, Semantic Segmentation and Instance Segmentation there has been a steady improvement in algorithms like Faster R-CNN, SSD, YOLO, MASK-RCNN. When to apply what and how to leverage those in real-world applications?


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