RASAM - A Dataset for the Recognition and Analysis of Scripts in Arabic Maghrebi

Chahan Vidal-Gorène, Noëmie Lucas, Clément Salah, Aliénor Decours-Perez, Boris Dupin. RASAM - A Dataset for the Recognition and Analysis of Scripts in Arabic Maghrebi. In Elisa H. Barney Smith, Umapada Pal 0001, editors, Document Analysis and Recognition, ICDAR 2021 Workshops, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I. Volume 12916 of Lecture Notes in Computer Science, pages 265-281, Springer, 2021. [doi]

@inproceedings{Vidal-GoreneLSD21,
  title = {RASAM - A Dataset for the Recognition and Analysis of Scripts in Arabic Maghrebi},
  author = {Chahan Vidal-Gorène and Noëmie Lucas and Clément Salah and Aliénor Decours-Perez and Boris Dupin},
  year = {2021},
  doi = {10.1007/978-3-030-86198-8_19},
  url = {https://doi.org/10.1007/978-3-030-86198-8_19},
  researchr = {https://researchr.org/publication/Vidal-GoreneLSD21},
  cites = {0},
  citedby = {0},
  pages = {265-281},
  booktitle = {Document Analysis and Recognition, ICDAR 2021 Workshops, Lausanne, Switzerland, September 5-10, 2021, Proceedings, Part I},
  editor = {Elisa H. Barney Smith and Umapada Pal 0001},
  volume = {12916},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86198-8},
}