Dataset Versions

v2

2024-10-19 9:07am

Generated on Oct 19, 2024

Dataset Split

Train Set 88%
423Images
Valid Set 8%
39Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 2000x1500

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -15% and +15%