Dataset Versions
Versions
v1
Version Single
Generated on Aug 22, 2023
30720 Total Images
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Dataset Split
Train Set 88%
26880Images
Valid Set 8%
2564Images
Test Set 4%
1276Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-74% Horizontal Region, 25-73% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 70% Maximum Zoom
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Brightness: Between -85% and +85%
Blur: Up to 7.25px
Noise: Up to 17% of pixels