This directory contains a small balanced test subset used for evaluating the BrainVision ONNX model with real MRI images.
The images are sourced from the following public dataset:
Kaggle Dataset:
Each folder contains 20 randomly selected MRI images from its category:
test-data/
βββ Glioma/
βββ Meningioma/
βββ No Tumor/
βββ Pituitary/
This subset is designed to provide a fast and reliable way to:
- Test the browser-based classifier
- Validate ONNX inference
- Debug preprocessing steps
- Compare predictions with original labels
- Demonstrate model performance in documentation or demos
This test set is only for evaluation, not training. It helps ensure model and UI behavior is correct in real-world cases.
All images originate from the Kaggle dataset listed above. Redistribution should follow the dataset's licensing terms.
- Images are unmodified except for random selection.
- No resizing, filtering, or preprocessing was applied.
- Ideal for manual and automated testing in both development and documentation.
- The model may make incorrect predictions --- this is expected in any real-world machine-learning system.
- Correctness of the image labels belongs to the dataset creators, not to this project.