Dataset Versions
v2
2024-07-17 11:35am
Generated on Jul 17, 2024
1055 Total Images
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Dataset Split
Train Set 88%
924Images
Valid Set 8%
88Images
Test Set 4%
43Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±9° Horizontal, ±7° Vertical
Grayscale: Apply to 25% of images
Hue: Between -21° and +21°
Saturation: Between -33% and +33%
Brightness: Between -23% and +23%
Exposure: Between -14% and +14%
Blur: Up to 3.2px
Noise: Up to 1.76% of pixels
Mosaic: Applied