{"title":"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","authors":"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","doi":"10.1016/j.dib.2025.111553","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111553"},"PeriodicalIF":1.0000,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of Bangladesh\",\"authors\":\"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\",\"doi\":\"10.1016/j.dib.2025.111553\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"60 \",\"pages\":\"Article 111553\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2025-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340925002859\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340925002859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of Bangladesh
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.
期刊介绍:
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