[data request] Caltech 256

• Name of dataset: Caltech 256
• URL of dataset: http://www.vision.caltech.edu/Image_Datasets/Caltech256/
• License of dataset: None
• Short description of dataset and use case(s):
  The Caltech 256 is considered an improvement to its predecessor, the Caltech 101 dataset, with new features such as larger
  category sizes, new and larger clutter categories, and overall increased difficulty. This is a great dataset to train models for
  visual recognition: How can we recognize frogs, cell phones, sail boats and many other categories in cluttered pictures? How
  can we learn these categories in the first place? Can we endow machines with the same ability?

Folks who would also like to see this dataset in tensorflow/datasets, please thumbs-up so the developers can know which requests to prioritize.

And if you'd like to contribute the dataset (thank you!), see our guide to adding a dataset.

Start with the linked guide to adding a dataset, then inspect the Caltech 256 dataset page and its license details. Done means the dataset is added to tensorflow/datasets according to the guide and is usable for the requested visual-recognition use case.