abidlabs/synthetic-mnist-20

synthetic-mnist-20 20 synthetic MNIST-like images: 28x28 grayscale digits, 2 images per class (digits 0-9). Generated with PIL: each digit is rendered at high resolution with the scalable default font, given a random rotation (-15..15 degrees), random translation jitter and a slight blur, then downsampled to 28x28. Seed 42 makes regeneration deterministic. Load from datasets import load_dataset ds = load_dataset("abidlabs/synthetic-mnist-20", split="train")… See the full description on the dataset page: https://huggingface.co/datasets/abidlabs/synthetic-mnist-20.

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