Voxel51/emnist-letters-tiny

--- annotations_creators: [] language: en size_categories: - 10K<n<100K task_categories: - image-classification task_ids: [] pretty_name: EMNIST-Letters-10k tags: - fiftyone - image - image-classification dataset_summary: '  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 10000 samples. ## Installation If you haven''t already, install FiftyOne: ```bash pip install -U fiftyone ``` ## Usage ```python import fiftyone as fo from fiftyone.utils.huggingface import load_from_hub # Load the dataset # Note: other available arguments include ''max_samples'', etc dataset = load_from_hub("Voxel51/emnist-letters-tiny") # Launch the App session = fo.launch_app(dataset) ``` ' --- # Dataset Card for EMNIST-Letters-10k <!-- Provide a quick summary of the dataset. --> A random subset of the train and test splits from the letters portion of [EMNIST](https://pytorch.org/vision/0.18/generated/torchvision.datasets.EMNIST.html)  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 10000 samples. ## Installation If you haven't already, install FiftyOne: ```bash pip install -U fiftyone ``` ## Usage ```python import fiftyone as fo from fiftyone.utils.huggingface import load_from_hub # Load the dataset # Note: other available arguments include 'max_samples', etc dataset = load_from_hub("Voxel51/emnist-letters-tiny") # Launch the App session = fo.launch_app(dataset) ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** en - **License:** [More Information Needed] ### Dataset Sources <!-- Provide the basic links for the dataset. --> - **Homepage:** https://www.nist.gov/itl/products-and-services/emnist-dataset - **Paper :** https://arxiv.org/abs/1702.05373v1 ## Citation **BibTeX:** ```bibtex @misc{cohen2017emnistextensionmnisthandwritten, title={EMNIST: an extension of MNIST to handwritten letters}, author={Gregory Cohen and Saeed Afshar and Jonathan Tapson and André van Schaik}, year={2017}, eprint={1702.05373}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/1702.05373}, } ``` ## Dataset Card Author [Jacob Marks](https://huggingface.co/jamarks)