Personal R&D · 2026
AI Image Tagging & Vision Prototype
A prototype that auto-tags and organizes image libraries using vision models, exploring search and moderation use cases.
- Client
- Personal R&D
- Role
- Product / Project Lead
- Timeline
- Jan 2026 – Apr 2026
- Domain
- AI / Computer Vision
- Approach
- Rapid prototyping
- Team size
- 1–4
- Budget
- Personal
Objective
Prototype an image tagging tool that uses vision models to auto-label, group, and search large image libraries.
What I did
- ▸ Framed the concept, use cases, and evaluation approach
- ▸ Prototyped tagging with pretrained vision models
- ▸ Built a simple search & filtering UI
- ▸ Tested accuracy across varied image sets
- ▸ Documented findings and next steps
Key deliverables
- ▸ Vision tagging prototype
- ▸ Auto-labeling pipeline
- ▸ Search & filter UI
- ▸ Evaluation notes
Outcome
Produced a working prototype demonstrating automated tagging and visual search on real image sets.
Tools & tech
- Computer Vision
- Python
- Embeddings
- Vector search

