FishSpeciesBD: A Real-World Fish-Market Image Dataset for Hilsa Authentication and Visually Similar Fish Species Recognition in Bangladesh

Published: 3 August 2026| Version 1 | DOI: 10.17632/hvf9smxr3w.1
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Description

FishSpeciesBD is a real-world fish-market image dataset for Hilsa authentication and visually similar fish species recognition in Bangladesh. The curated dataset contains 18,957 RGB JPEG images representing five fish classes commonly encountered in Bangladeshi markets: Hilsa shad (Tenualosa ilisha), Toli shad (Tenualosa toli), Indian oil sardine (Sardinella longiceps), Goldstripe sardinella (Sardinella gibbosa), and Dotted gizzard shad (Konosirus punctatus). The curated image distribution is 14,318 Hilsa shad images, 1,073 Toli shad images, 2,243 Indian oil sardine images, 370 Goldstripe sardinella images, and 953 Dotted gizzard shad images. Curated images are stored as RGB JPEG files standardized to 512 × 512 pixels. The dataset also includes metadata, validation reports, checksums, documentation, scripts, and a supplementary original_images folder for transparency.

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Agricultural Science, Food Science, Computer Vision, Image Processing, Fish, Biodiversity, Biological Classification, Image Classification, Bangladesh, Food Authentication, Fisheries Science, Deep Learning, Automated Machine Learning

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