5 datasets found

The MNIST dataset is a large dataset of handwritten digits, and the OMNIGLOT dataset is a large dataset of handwritten characters.

The local dataset consists of 4320 characters and has upper and lowercase English alphabets, along with numerical digits.

The dataset consists of 7705 characters and has upper and lowercase English alphabets, along with numerical digits.

The Omniglot dataset consists of 100 classes, each containing 20 images. Ten images were taken from each class for augmentation, and the rest were used as the test set. Each...

Binary images are simple — two possible pixel-valued signals with a single channel. The simplicity of binary images has a significant advantage compared to colored and gray...