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Dataset size and class distribution
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Perform some sanity checks
- Checking for corrupted files
- File typing check
- Checking image channels
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Visualizing the dataset
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Visualizing the distribution of channel pixels by class
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Identifying very dark and very light images and removing them
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Identifying duplicates in our data
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Transforming the images into a Feature Matrix
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Using KMeans to cluster our images
