Computer Vision 2025
DINOv3 + Pseudo-labeling for Traditional Houses
2nd Place at DSC LOGIKA UI 2025. Semi-supervised classification pipeline for Indonesian traditional house images using DINOv3 features and pseudo-labeling; 97.21% test accuracy.
Overview
DINOv3 + Pseudo-labeling for Traditional Houses is a computer vision project by Pradana Yahya Abdillah, built in 2025. 2nd Place at DSC LOGIKA UI 2025. Semi-supervised classification pipeline for Indonesian traditional house images using DINOv3 features and pseudo-labeling; 97.21% test accuracy.
Tech stack
DINOv3Semi-supervisedImage Classification
Links
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