This dataset is a curated version of the classic MNIST dataset, enriched with model predictions, embeddings, and various analytical fields generated using the FiftyOne library. It was created as part of the "Image Classification and Dataset Curation with FiftyOne and PyTorch" tutorial to demonstrate practical computer vision workflows.
The dataset contains the original 60,000 training and 10,000 test samples, with the training set further split into… See the full description on the dataset page:
https://huggingface.co/datasets/Voxel51/curated-mnist.
