Shagor MB, Alvi MZH, Hasan KT. CID: Cow Images Dataset for Regression and Classification. ICCA '22: Proceedings of the 2nd International Conference on Computing Advancements. 2022; Pages 450-455. https://doi.org/10.1145/3542954.3543018
Summary: This paper introduces the Cow Images Dataset (CID), comprising 17,899 labeled images of cattle with vitals such as sex, color, breed, feed, age, teeth, height, weight, price, and size. The dataset supports both regression and classification tasks, offering a valuable resource for researchers to develop or fine-tune models in cattle livestock management. Baseline models were developed using multi-input, multi-output networks, achieving the best accuracy of 75% for age and 67% for breed classification. The dataset and models aim to facilitate further research in predicting livestock vitals and advancing cattle management technology. The dataset is publicly available on GitHub.
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