Nigerian Context Dataset Initiative (Personal Project)
I independently recorded and annotated 75+ videos and images representing authentic Nigerian everyday environments for a model diversity initiative. The project emphasized collection of regional data types to address gaps in Western-trained CV/LLM systems. Key outputs included detailed annotation and identification of 30+ model failure cases. • Collected diverse contextual video/image data for dataset enrichment. • Annotated spatial and action-focused metadata to standard schemas. • Documented model failure modes unique to West African scenes. • Enhanced dataset value for LLM and CV research applications.