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@OBA-Research

OBA-Research

Research in indoor scene geolocation, colour-augmented vision models, image integrity analysis, and scalable multimodal AI systems.

OBA-Research

OBA-Research is a collection of research code, datasets, and experimental frameworks related to computer vision, visual integrity analysis, and multimodal learning.

Projects hosted here support ongoing academic research and reproducible experimentation, and may be accompanied by peer-reviewed publications.

Core Projects

Reproducibility

All repositories follow consistent split tracking, transparent configurations, and open evaluation pipelines to ensure experiment reproducibility

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  1. VAAS VAAS Public

    VAAS is an inference-first, research-driven library for image integrity analysis. It integrates Vision Transformer Attention Mechanisms with patch-level self-consistency analysis to enable fine-gra…

    Python 8 2

  2. VAAS-experiments VAAS-experiments Public

    Python

  3. colourNembedding colourNembedding Public

    Improving image embedding with colour features

    Jupyter Notebook 2

Repositories

Showing 4 of 4 repositories

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