Dataset Versions

v3

colorchecker-vis cerrado

Generated on May 25, 2024

Dataset Split

Train Set 94%
280Images
Valid Set 4%
11Images
Test Set 2%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 2000x2000
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require all images to contain annotations.
Filter by Tag: 1 required, 1 dropped

Augmentations

Outputs per training example: 7
Flip: Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -3° and +3°
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%