TML_ROI Computer Vision Dataset
9034 Total Images
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Dataset Split
Train Set 99%
8940Images
Valid Set 1%
64Images
Test Set 0%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 19% of images
Hue: Between -25° and +25°
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 1.1px