ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of Bangladesh

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-04-11 DOI:10.1016/j.dib.2025.111553

Mohammad Manzurul Islam, Anabil Sarker, Ashiquzzaman Choudhury, Noortaz Ahmed, Ahmed Abdal Shafi, Nishat Tasnim Niloy, Md Shorif Hossain, Md Sawkat Ali, Abdullahi Chowdhury, Md. Hasanul Ferdaus

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引用次数: 0

Abstract

Shrimp farming is a significant contributor to Bangladesh's economy, providing livelihoods for millions of people in coastal areas. However, the shrimp industry faces challenges from prevalent shrimp diseases, which can disrupt the economy and harm the environment. Detecting these diseases early and effectively is crucial. To address this concern, a dataset has been developed containing images of healthy and diseased shrimp of different types. The images were collected from local shrimp farms under expert supervision using high-quality smartphone cameras. The dataset includes 1149 original images, with diseased shrimp images annotated to improve detection capabilities. This dataset is expected to be valuable for detecting shrimp diseases with precision and timing and is likely to encourage research and practical applications in automated shrimp health monitoring. It will also be a valuable resource for computer vision and aquaculture researchers.

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ShrimpDiseaseBD：用于检测孟加拉国水产养殖部门虾类疾病的图像数据集

对虾养殖是孟加拉国经济的重要贡献者，为沿海地区数百万人提供生计。然而，虾业面临着普遍存在的虾病的挑战，这可能会扰乱经济并危害环境。及早有效地发现这些疾病至关重要。为了解决这一问题，已经开发了一个包含不同类型的健康和患病虾图像的数据集。这些图像是在专家监督下使用高质量智能手机相机从当地虾场收集的。该数据集包括1149张原始图像，并对病虾图像进行了注释，以提高检测能力。该数据集有望为准确和及时地检测虾类疾病提供价值，并可能鼓励在虾类健康自动化监测方面的研究和实际应用。它也将成为计算机视觉和水产养殖研究人员的宝贵资源。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.