Computer Vision
Optha Insights
AI ophthalmology grading and image analysis workflow
Use of AI powered ophthalmology grader to accurately and efficiently grade different types of images.
Timeline
February 2023
Service
Medical AI Product Engineering
ClassificationComputer VisionObject DetectionSegmentation
Project Overview
- 1Use of AI powered ophthalmology grader to accurately and efficiently grade different types of images.
- 2Focused on computer vision delivery for a practical user workflow.
- 3Built around Classification, Computer Vision, Object Detection capabilities.
- 4Structured so the output can be reviewed, extended, and handed off cleanly.
Core Capabilities
Classification
Computer Vision
Object Detection
Segmentation
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 ophthalmology grading workflow.
Tech Stack
Classification
Computer Vision
Object Detection
Segmentation
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.