Dataset Versions

v2

2024-10-07 6:16am

Generated on Oct 7, 2024

Dataset Split

Train Set 88%
5496Images
Valid Set 8%
522Images
Test Set 4%
261Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Hue: Between -27° and +27°
Saturation: Between -73% and +73%
Brightness: Between -11% and +11%
Exposure: Between -10% and +10%
Noise: Up to 0.22% of pixels