The DeepFish computer vision dataset for fish instance segmentation, classification, and size estimation

  1. Garcia-d’Urso, N.
  2. Galan-Cuenca, A.
  3. Pérez-Sánchez, P.
  4. Climent-Pérez, P.
  5. Fuster-Guillo, A.
  6. Azorin-Lopez, J.
  7. Saval-Calvo, M.
  8. Guillén-Nieto, J.E.
  9. Soler-Capdepón, G.
CRediT (researchers' contribution):
Garcia-d’Urso, N.: Validation, Formal analysis, Software. Galan-Cuenca, A.: Validation, Formal analysis, Software. Pérez-Sánchez, P.: DataCuration, Validation. Climent-Pérez, P.: Writing original draft, Visualization. Fuster-Guillo, A.: Supervision, Funding acquisition, Project administration. Azorin-Lopez, J.: Supervision, Funding acquisition, Project administration. Saval-Calvo, M.: Writing review editing, Supervision. Guillén-Nieto, J.E.: DataCuration, Validation, Supervision. Soler-Capdepón, G.: Supervision, Project administration.
Journal:
Scientific Data

ISSN: 2052-4463

Year of publication: 2022

Volume: 9

Issue: 1

Type: Data paper

DOI: 10.1038/S41597-022-01416-0 GOOGLE SCHOLAR lock_openOpen access editor HANDLE: https://hdl.handle.net/10045/124204
Repositorio Institucional de la Universidad de Alicante: lock_openOpen access Externo

Sustainable development goals

Data source: Scopus