Dataset Versions
v2
2024-10-25 7:49pm
Generated on Oct 25, 2024
5608 Total Images
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Dataset Split
Train Set 88%
4908Images
Valid Set 8%
468Images
Test Set 4%
232Images
Preprocessing
Auto-Orient: Applied
Static Crop: 29-76% Horizontal Region, 38-89% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels