Research prototype: wildlife image review
Independent project · Computer vision
Approach
A multi-stage pipeline I designed and built myself, using the concept behind Google vision models: image ingestion → AI classification → confidence filtering → structured output generation. Human review is kept for low-confidence results, so oversight stays in the loop.
Key Components
- Automated image ingestion and pre-processing
- AI-powered species classification
- Confidence scoring with human escalation for edge cases
- Structured report generation