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Datasets:
Voxel51
/
emnist-letters-tiny

Tasks:
Image Classification
Modalities:
Image
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
fiftyone
image
image-classification
Libraries:
FiftyOne
Dataset card Viewer Files Community
emnist-letters-tiny
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---
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)