Dataset Versions
v2
2024-09-19 4:40pm
Generated on Sep 19, 2024
158000 Total Images
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Dataset Split
Train Set 100%
158000Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-75% Horizontal Region, 8-75% Vertical Region
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each