Dataset Versions
Versions
v1
2024-05-01 5:09pm
Generated on May 1, 2024
292 Total Images
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Dataset Split
Train Set 78%
228Images
Valid Set 15%
44Images
Test Set 7%
20Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.4% of pixels