A collection of repositories supporting PhD work in computer vision, indoor scene geolocation, colour-aware representations, image integrity analysis, and multimodal AI systems. This organization hosts the code, experiments, and reproducible pipelines developed throughout the research at SETU.

• VAAS: Inference-first library for image integrity analysis.
• VAAS-experiments: Full reproducible VAAS research paper experimentation repository.
• ColourNembedding: Full reproducible experimentation repository for the Image Embeddings and colour features research paper in Indoor Scene Geolocation
• Computer Vision for Multimodal Geolocation: A Systematic review

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

PhD Candidate, SETU · Computer Vision · Multimodal AI · HPC for AI
Portfolio: https://opeyemibami.github.io/