Dataset Versions
v1
2024-12-11 10:15am
Generated on Dec 11, 2024
28048 Total Images
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Dataset Split
Train Set 87%
24540Images
Valid Set 8%
2336Images
Test Set 4%
1172Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -14° and +14°
Saturation: Between -32% and +32%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%