A comprehensive image dataset of Bangladeshi cow breed identification

Published: 6 October 2025| Version 1 | DOI: 10.17632/yd84s35d73.1
Contributors:
Shahariyar Rupom,
,
,
, Tanvir Anzum

Description

A comprehensive image dataset of various types of reknown cows in Bangladesh. This dataset contains a total of 263 HD image data in JPG,JPEG,PNG format. The cow breed is collected from different area in Bangladesh .There are 4 types of cows in this dataset which contains un-uniform numbers of image data: 1.Holstain Friesian (69 images) 2.Jersey (73 images) 3.Local Deshi (56 images) 4.Sahiwal (65 images) Each of the variety images are unique and captured from various angle so that the cows size, shape and color can be recognize sharply during image processing. Also, the Dataset is in ZIP format where it contains root folder "Cow Breed.zip" which contains 4 sub folders for each breed of cow. Moreover, this dataset is a state-of-the-art cow breed dataset.

Files

Institutions

Southeast University

Categories

Image Processing, Machine Learning, Beef Cattle, Image Classification, Cow Model, Convolutional Neural Network, Deep Learning Image Reconstruction, Aquaculture Farm

Licence