Computer Vision
ShadeFinder - Find Products using Face Images
Face analysis and product shade recommendation workflow
ShadeFinder suggests a product shade from face features by detecting and analyzing a face image.
Timeline
December 2019
Service
AI Product Engineering
Computer VisionFace DetectionFeaturedRecommendation
Project Overview
- 1ShadeFinder suggests a product shade from face features by detecting and analyzing a face image.
- 2Focused on computer vision delivery for a practical user workflow.
- 3Built around Computer Vision, Face Detection, Featured capabilities.
- 4Structured so the output can be reviewed, extended, and handed off cleanly.
Core Capabilities
Computer Vision
Face Detection
Featured
Recommendation
AI / Pipeline Highlights
Visual AI workflow
Processes image data into model outputs that are easier to inspect and act on.
Detection and analysis
Uses computer vision techniques to identify, classify, or localize relevant signals.
Review-ready output
Presents results in a format that supports faster human review and iteration.
1 / 1
Portfolio thumbnail for the ShadeFinder project.
Tech Stack
Computer Vision
Face Detection
Featured
Recommendation
Platform Value
Faster review cycle
Turns computer vision work into a clearer path from input to output.
Cleaner decision support
Organizes results so users can understand what happened and what to do next.
Reusable delivery base
Keeps the project structure easier to extend after the first release.