Dataset Versions

v5

2024-02-07 10:27pm

Generated on Feb 7, 2024

Dataset Split

Train Set 95%
813Images
Valid Set 4%
30Images
Test Set 1%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±13° Vertical
Grayscale: Apply to 14% of images
Hue: Between -15° and +15°
Saturation: Between -17% and +17%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1.03% of pixels