Dataset Versions

v5

2024-09-18 12:31am

Generated on Sep 18, 2024

Dataset Split

Train Set 90%
4044Images
Valid Set 6%
287Images
Test Set 3%
140Images

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