DriedFishBD: A Detailed Image Dataset of Common Small-sized Dried Fish Varieties in Bangladesh for Identification and Classification.

Published: 7 October 2024| Version 1 | DOI: 10.17632/vz4xgybxr2.1
Contributors:
Md Hasanul Ferdaus,
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Description

Type of data: 1024x1024 px images of small-sized dried fishes. Data format: JPEG. Contents of the dataset: Images of different varieties of small-sized dried fishes in Bangladesh from (i) single fish, (ii) bulk fish, (iii) fish head, and (iv) fish tail perspectives. Number of classes: Ten small-sized fish varieties – (1) Baim, (2) Chanda, (3) Chapila, (4) Chela, (5) Chepa, (6) Kachki, (7) Loitta, and (8) Tengra. Number of images: (A) Total images in Original Dataset = 3,313, and (B) Total images in Augmented Dataset = 9,939. Distribution of instances: (A) Number of images in Original Dataset - (1) Baim = 428 images in total. Single = 106, Bulk = 108, Head = 103, Tail = 111. (2) Chanda = 400 images in total. Single = 100, Bulk = 100, Head = 100, Tail = 100. (3) Chapila = 423 images in total. Single = 121, Bulk = 100, Head = 102, Tail = 100. (4) Chela = 400 images in total. Single = 100, Bulk = 100, Head = 100, Tail = 100. (5) Chepa = 400 images in total. Single = 100, Bulk = 100, Head = 100, Tail = 100. (6) Kachki = 455 images in total. Single = 133, Bulk = 107, Head = 107, Tail = 108. (7) Loitta = 400 images in total. Single = 100, Bulk = 100, Head = 100, Tail = 100. (8) Tengra = 407 images in total. Single= 101, Bulk = 100, Head = 100, Tail = 106. (B) Number of images in Augmented Dataset - (1) Baim = 1,284 images in total. Single = 318, Bulk = 324, Head = 309, Tail = 333. (2) Chanda = 1,200 images in total. Single = 300, Bulk = 300, Head = 300, Tail = 300. (3) Chapila = 1,269 images in total. Single = 363, Bulk = 300, Head = 306, Tail = 300. (4) Chela = 1,200 images in total. Single = 300, Bulk = 300, Head = 300, Tail = 300. (5) Chepa = 1,200 images in total. Single = 300, Bulk = 300, Head = 300, Tail = 300. (6) Kachki = 1,365 images in total. Single = 399, Bulk = 321, Head = 321, Tail = 324. (7) Loitta = 1,200 images in total. Single = 300, Bulk = 300, Head = 300, Tail = 300. (8) Tengra = 1,221 images in total. Single = 303, Bulk = 300, Head = 300, Tail = 318. Dataset size: (A) Total size of the Original Dataset is 404 MB and the compressed ZIP file size is 391 MB. (B) Total size of the Augmented Dataset is 1.18 GB and the compressed ZIP size is 1.12 GB. Data acquisition process: Images of various small-sized dried fish categories are captured through high-definition smartphone cameras focusing from different angles. Data source location: Local wholesale dried fish markets located in different areas of Dhaka, Bangladesh. Where applicable: Training and evaluating machine learning and deep learning models to identify and classify small-sized dried fish varieties in Bangladesh which can be useful in Food Processing Industry, Fisheries Management, Supply Chain and Logistics, Retail and E-Commerce, Food Safety and Regulatory Compliance, Environmental and Conservation Research, Ethnography and Cultural Studies, Nutritional Science, Artificial Intelligence and Machine Learning, and Agricultural Economics.

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Institutions

East West University, Begum Rokeya University, Bangladesh Ministry of Agriculture

Categories

Computer Vision, Image Processing, Food Safety, Fish, Freshwater Fish, Aquaculture, Object Detection, Machine Learning, Biodiversity, Image Classification, Conservation Biology, Food Authentication, Dried Food, Fisheries Science, Food Industry, Deep Learning

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