Dataset Versions

v2

2024-08-31 10:11am

Generated on Aug 31, 2024

Dataset Split

Train Set 87%
1701Images
Valid Set 9%
166Images
Test Set 4%
81Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 2 boxes with 10% size each

Similar Projects

See More