Dataset Versions
v2
2024-08-27 8:35am
Generated on Aug 27, 2024
564 Total Images
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Dataset Split
Train Set 88%
495Images
Valid Set 8%
45Images
Test Set 4%
24Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 18-72% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 3 rows x 1 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -34% and +34%
Exposure: Between -15% and +15%
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical