Dataset Versions

v2

Colorchecker_Museum_Segmentation_VIS_NIR

Generated on Oct 12, 2024

Dataset Split

Train Set 93%
1918Images
Valid Set 5%
106Images
Test Set 2%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 2000x2000
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%