Dataset Versions
Versions
v1
2023-03-07 2:04pm
Generated on Mar 7, 2023
1292 Total Images
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Dataset Split
Train Set 87%
1128Images
Valid Set 8%
108Images
Test Set 4%
56Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-72% Horizontal Region, 25-96% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%