Dataset Versions

v10

2024-07-11 6:41am

Generated on Jul 11, 2024

Dataset Split

Train Set 91%
16140Images
Valid Set 9%
1657Images
Test Set 0%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 2.2px
Noise: Up to 1.56% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -5° and +5°
Bounding Box: Shear: ±5° Horizontal, ±5° Vertical