datalicense

All datasets / aboulesnane

aboulesnane/ASLAD-190K

35 downloads in 30 days0 likesLast modified 19 Sep 2025View on Hugging Face
Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence
cc-by-4.0, from the tagEvidence: README.md at 87e388c
Licence files
No licence file at the top level of the repositoryEvidence: file list at 87e388c
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

If you use this dataset in your research, please ensure to cite the following original works:

-Boulesnane, A., Bellil, L. & Ghiri, M.G. A hybrid CNN-random forest model with landmark angles for real-time Arabic sign language recognition. Neural Comput & Applic 37, 2641–2662 (2025). https://doi.org/10.1007/s00521-024-10729-7

-Boulesnane, Abdennour; Bellil, Lyna; GHIRI, Maissoun Ghouzlen (2024), “ASLAD-190K: Arabic Sign Language Alphabet Dataset consisting of 190,000 Images”, Mendeley Data, V2, http://dx.doi.org/10.17632/2fgpn5dwgc.2

```bibtex
@article{Boulesnane2024,
  author = {Boulesnane,  Abdennour and Bellil,  Lyna and Ghiri,  Maissoun Ghouzlen},
  title = {A hybrid CNN-random forest model with landmark angles for real-time Arabic sign language recognition},
  volume = {37},
  ISSN = {1433-3058},
  DOI = {10.1007/s00521-024-10729-7},
  number = {4},
  journal = {Neural Computing and Applications},
  publisher = {Springer Science and Business Media LLC},
  year = {2024},
  month = dec,
  pages = {2641–2662}
}

@article{Boulesnane2024_ASLAD190K,
  author       = {Boulesnane, Abdennour and Bellil, Lyna and Ghiri, Maissoun Ghouzlen},
  title        = {ASLAD-190K: Arabic Sign Language Alphabet Dataset consisting of 190,000 Images},
  year         = {2024},
  publisher    = {Mendeley Data},
  version      = {V2},
  doi          = {10.17632/2fgpn5dwgc.2}
}

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "aboulesnane/ASLAD-190K" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0