This is the popular MNIST dataset, recognizing digits.
The dataset was trained on a CNN with ResNet50 architecture using FastAI library.
The data was given as a csv, first column being label and the rest being pixel value from 0 to 255.
The model was able to achieve about a 99.4% accuracy rate.