Datasets:
Tasks:
Image Classification
Modalities:
Image
Languages:
English
Size:
10K<n<100K
ArXiv:
Libraries:
FiftyOne
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: ' | |
![image/png](dataset_preview.png) | |
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) | |
![image/png](dataset_preview.png) | |
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) | |