Dataset Versions

v4

2024-09-24 5:05am

Generated on Sep 24, 2024

Dataset Split

Train Set 98%
2823Images
Valid Set 1%
38Images
Test Set 1%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 2048x2048

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels