Dataset Versions
v3
2024-05-18 2:29am
Generated on May 17, 2024
1104 Total Images
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Dataset Split
Train Set 78%
864Images
Valid Set 14%
160Images
Test Set 7%
80Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
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 -56° and +56°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%