Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
10K - 100K
ArXiv:
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Dataset Card for EMNIST-Letters-10k
A random subset of the train and test splits from the letters portion of EMNIST
This is a FiftyOne dataset with 10000 samples.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
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
- 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
- Homepage: https://www.nist.gov/itl/products-and-services/emnist-dataset
- Paper : https://arxiv.org/abs/1702.05373v1
Citation
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},
}
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