ArticleData in brief2024
BD-freshwater-fish: An image dataset from Bangladesh for AI-powered automatic fish species classification and detection toward smart aquaculture.
Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- A Freshwater Fish Dataset for Visual Recognition with Manually Localized ROIs and SAM-Derived Instance Masks.Scientific data · 2026Article
- FishNet: A dataset of freshwater fish from Bangladesh for deep learning-based fish species classification.Data in brief · 2026Article
- SmallFishBD: An extensive image dataset of common native small fish species in Bangladesh for identification and classification.Data in brief · 2025Article
- BengalDeltaFish: A local dataset for fish detection in Bangladeshi markets.Data in brief · 2025Article
- SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning.PloS one · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There are about 33,000 different species of fish and they are visually identified using variety of traits, i.e., size and shape of body, head's size and shape, skin pattern, fin pattern, mouth pattern, scale pattern, and eye pattern etc. In traditional manner, identifying these fish species is always difficult with necked eye. Identification and detection of fish species from images using deep learning and computer vision based techniques is challenging topic among researchers worldwide as an interesting problem. Automatic fish species classification and detection has practical importance for both smart aquaculture and fish industry. AI powered deep learning and computer vision based automatic fish species recognition and sorting system becoming significant factor for making aquaculture industry more productive and sustainable. However, the performance of machine learning classifier greatly depends on the size of image dataset and the quality of the images in the dataset. This article demonstrate
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.