LAB COLOR SPACE Context We are working on the project of automatic [Image colorization][1] for the Texas Innovation Challenge([TIC][2]). Hence for the training of the model I had to create this dataset, wherein gray scale images are taken as input and a and b components of LAB color space are taken as output. This is the first dataset I ever created , so please do share your reviews on it :):) Content The dataset consists of two compressed zip files: (1) ab.zip : This contains 25 .npy files consisting of a and b dimensions of LAB color space images, of the [MIRFLICKR25k][3] randomly sized colored image dataset. The LAB color space generally takes up large disk spaces, hence is a lot slower to load. That is the reason, I divided this into 25 files, so that it can be loaded at the time of requirement. (2) l.zip : This consists of a gray_scale.npy file which is the grayscale version of the [MIRFLICKR25k][4] dataset. The image dataset which I used was taken from the [MIRFLICKR25k][5] . [1]: https://sites.google.com/view/coloi/ [2]: https://innovate.mygov.in/india-innovation-challenge-design-contest-2018/ [3]: http://press.liacs.nl/mirflickr/mirdownload.html [4]: http://press.liacs.nl/mirflickr/mirdownload.html [5]: http://press.liacs.nl/mirflickr/mirdownload.html