Dataset Versions
Versions
v1
2024-06-19 4:54am
Generated on Jun 19, 2024
20 Total Images
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Dataset Split
Train Set 90%
18Images
Valid Set 5%
1Images
Test Set 5%
1Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-61% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% 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 -15% and +15%
Exposure: Between -19% and +19%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each