


The ThaiBuff dataset contains muzzle images of Thai buffalo (Swamp Buffalo). It consist of 2 sub-datasets collected from different subjects at different locations,
ðļ in total 12,878 images from 839 ð Subjects
- ThaiBuff-A: 431 subjects, 10 images for each subjects (4310 Images)
- ThaiBuff-B: 408 subjects, 21 images for each subjects (8568 Images)
To download the datasets, please fill in and sign the contract form below, and submit to lab.mvit@gmail.com or worapan.kun@mahidol.ac.th
We will contact you back using the provided email as soon as possible.
ð>> ThaiBuff Contract Form PDF Version
All publications/works using ThaiBuff must cite the following 2 papers
- W. Kusakunniran, A. Wiratsudakul, U. Chuachan, S. Kanchanapreechakorn, T. Imaromkul, N. Suksriupatham, K. Thongkanchorn, Biometric for Cattle Identification using Muzzle Patterns, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 34(12):2056007-1 to 2056007-21, November 2020, DOI: 10.1142/S0218001420560078
- W. Kusakunniran, A. Wiratsudakul, U. Chuachan, T. Imaromkul, S. Kanchanapreechakorn, N. Suksriupatham, K. Thongkanchorn, Analysing Muzzle Pattern Images as a Biometric for Cattle Identification, International Journal of Biometrics (IJBM), 13(4):367-384, June 2021, DOI: 10.1504/IJBM.2021.10038945
and acknowledge the following sentence in the publications/works.
The ThaiBuff dataset was collected by the âDevelopment of Swamp Buffalo (Bubalus Bubalis) Identification using Biometric Featureâ project funded by Agricultural Research Development Agency (Public Organization), Thailand.

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âāđāļāļĢāļāļ§āļīāļāļąāļĒāļāļēāļĢāļāļąāļāļāļēāļ§āļīāļāļĩāļāļēāļĢāļĢāļ°āļāļļāđāļāļāļĨāļąāļāļĐāļāđāđāļāļāļēāļ°āļāļąāļ§āļāļāļāļāļĢāļ°āļāļ·āļāļāļĨāļąāļ āļāđāļ§āļĒāđāļāļāđāļāđāļĨāļĒāļĩāđāļāđāļāđāļĄāļāļĢāļīāļâ(Development of Swamp Buffalo Identification Method Using Biometric Feature)
BuffScan Mobile Application: light to the new era of animal biometric identification in Thailand
In recent years, the need for effective animal biometric identification has become increasingly pertinent, especially in Thailand. The BuffScan mobile application emerges as a revolutionary tool designed to address these challenges, utilizing cutting-edge technology to facilitate the precise identification buffalo. By harnessing the power of biometric data, such as muzzle print or nose print facial recognition and unique physical characteristics, BuffScan not only enhances monitoring efforts but also fosters better conservation strategies. BuffScan sets a new standard for animal management in the new century.








