RGB Mask to Single Channel Mask for Multiclass Segmentation | Deep Learning
This video will learn how to process an RGB (Red Green Blue) mask into a single channel mask for multiclass segmentation. Here, we take some of the images and masks from the VOC 2012 dataset, then we process those RGB masks and convert them into a one-hot encoded mask. Then later, we convert these masks into a single channel grayscale mask.
This video will answer the following questions:
1. How to prepare masks for multiclass semantic segmentation?
2. How to preprocess mask for multiclass segmentation?
3. How to create one hot segmentation mask from an RGB mask image for multiclass segmentation?
CODE: https://github.com/nikhilroxtomar/RGB...
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