10. Edge AI Studio Model Composer
Edge AI Studio Model Composer is Texas Instruments’ no-code web platform for training and deploying AI models on MCUs. This section covers how to use the GUI as an alternative to the command-line toolchain.
Contents
- 10.1. Model Composer Overview
- 10.2. Getting Started (GUI)
- 10.2.1. Prerequisites
- 10.2.2. Step 1: Access Model Composer
- 10.2.3. Step 2: Create a Project
- 10.2.4. Step 3: Upload Dataset
- 10.2.5. Step 4: Configure Feature Extraction
- 10.2.6. Step 5: Configure Training
- 10.2.7. Step 6: Start Training
- 10.2.8. Step 7: Analyze Results
- 10.2.9. Step 8: Evaluate on Test Set
- 10.2.10. Step 9: Export Model
- 10.2.11. Using Exported Model
- 10.2.12. GUI Tips and Tricks
- 10.2.13. Troubleshooting
- 10.2.14. What’s Next?
- 10.2.15. Additional Resources
- 10.3. Exporting Models
10.4. What is Model Composer?
Model Composer provides a graphical interface for:
Uploading and managing datasets
Selecting and configuring models
Training with real-time progress visualization
Downloading compiled artifacts for deployment
Access URL: https://dev.ti.com/modelcomposer/
10.5. GUI vs CLI Comparison
Feature |
Model Composer (GUI) |
Tiny ML Tensorlab (CLI) |
|---|---|---|
Learning Curve |
Low - point and click |
Medium - requires config files |
Customization |
Limited presets |
Full flexibility |
Model Selection |
Curated models |
All models in ModelZoo |
Task Types |
Arc Fault, Motor Fault |
All 5 task types |
Custom Models |
Not supported |
Fully supported |
Automation |
Manual |
Scriptable |
When to Use Model Composer:
Quick prototyping
Non-technical users
Standard arc fault or motor fault applications
No Python environment available
When to Use CLI:
Custom datasets or models
Advanced features (NAS, custom quantization)
Automated pipelines
Full control over configuration