CNN for Semantic Segmentation
Learn to use pre-trained semantic segmentation CNNs.
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When we discussed CNN for Object Detection, we obtained a rough location for the objects of interest through a bounding box. That is enough in some circumstances, but sometimes we need to know the shape of objects, in addition to their position.
Consider the image below:
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A microcontroller (left) and annotation of the semantic segmentation for three types of components (right)
Assume that our automated inspection task requires measuring the (x, y) coordinates of some critical microcontroller components in the left-hand side image, along with their orientation in the board plane. We would need a mask for each component such that their blob centroid and main axis angle can be computed.
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