Dataset Versions

v12

2023-10-10 6:01pm

Generated on Oct 10, 2023

Dataset Split

Train Set 91%
1143Images
Valid Set 9%
118Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-98% Vertical Region
Resize: Stretch to 1280x1088
Filter Null: Require at least 94% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 5% of pixels