metadata

annotations_creators: []
language: en
license: other
size_categories:
  - 10K<n<100K
task_categories:
  - video-classification
task_ids: []
pretty_name: World Level American Sign Language
tags:
  - fiftyone
  - video
  - activity-recognition
  - asl
  - sign-language
dataset_summary: >



  ![image/png](dataset_preview.gif)



  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 11980
  samples.


  ## Installation


  If you haven't already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  import fiftyone.utils.huggingface as fouh


  # Load the dataset

  # Note: other available arguments include 'max_samples', etc

  dataset = fouh.load_from_hub("Voxel51/WLASL")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

Dataset Card for WLASL

This is a FiftyOne video dataset with 11980 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

import fiftyone as fo
import fiftyone.utils.huggingface as fouh

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = fouh.load_from_hub("Voxel51/WLASL")

# Launch the App
session = fo.launch_app(dataset)

Dataset Details

Dataset Description

WLASL is the largest video dataset for Word-Level American Sign Language (ASL) recognition, which features 2,000 common different words in ASL. The authors hope WLASL will facilitate the research in sign language understanding and eventually benefit the communication between deaf and hearing communities.

Curated by: Dongxu Li and Hongdong Li
Language(s) (NLP): en
License: other

Dataset Sources

Repository: https://github.com/dxli94/WLASL
Paper: https://arxiv.org/abs/1910.11006
Homepage: https://dxli94.github.io/WLASL/
Demo: https://try.fiftyone.ai/datasets/asl-dataset/samples

Uses

All the WLASL data is intended for academic and computational use only. No commercial usage is allowed. Licensed under the Computational Use of Data Agreement (C-UDA)

Citation

BibTeX:

@misc{li2020wordlevel,
      title={Word-level Deep Sign Language Recognition from Video: A New Large-scale Dataset and Methods Comparison}, 
      author={Dongxu Li and Cristian Rodriguez Opazo and Xin Yu and Hongdong Li},
      year={2020},
      eprint={1910.11006},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

@inproceedings{li2020transferring,
 title={Transferring cross-domain knowledge for video sign language recognition},
 author={Li, Dongxu and Yu, Xin and Xu, Chenchen and Petersson, Lars and Li, Hongdong},
 booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
 pages={6205--6214},
 year={2020}
}

Dataset Card Authors

Jacob Marks