Lilly Tech Systems
Visual AI Testing
Test computer vision models with image classification testing, object detection evaluation, segmentation metrics, and automated visual test suites.
Course Lessons
Work through these lessons sequentially or jump to the topic most relevant to you.
1. Visual Testing Overview
Introduction to visual AI testing
2. Image Classification Testing
Testing image classifiers
3. Object Detection Evaluation
Evaluating object detection models
4. Segmentation Testing Metrics
Metrics for segmentation testing
5. Visual Regression Testing
Detecting visual regressions
6. Dataset Quality for Vision
Ensuring dataset quality
7. Automated Visual Test Suites
Building automated visual tests
What You'll Learn
By the end of this course, you will be able to:
Core Concepts
Understand the fundamental principles and techniques of visual ai testing for production AI systems.
Practical Skills
Build hands-on skills with real code examples, frameworks, and tools used by industry professionals.
Best Practices
Apply industry best practices and avoid common pitfalls when implementing testing in your ML projects.
Production Ready
Ship reliable, well-tested AI systems with confidence using automated testing pipelines.