Dataset Versions

v29

Preprocessing and augmentation

Generated on May 29, 2024

Dataset Split

Train Set 89%
7072Images
Valid Set 6%
452Images
Test Set 6%
452Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Brightness: Between -24% and +24%
Exposure: Between -11% and +11%