Dataset Versions

v2

2024-07-01 9:31am

Generated on Jul 1, 2024

Dataset Split

Train Set 88%
5277Images
Valid Set 8%
499Images
Test Set 4%
247Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 21% of images
Hue: Between -24° and +24°
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 1.6% of pixels