Dataset Versions
Versions
v1
2024-10-28 1:55pm
Generated on Oct 28, 2024
716 Total Images
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Dataset Split
Train Set 88%
627Images
Valid Set 8%
59Images
Test Set 4%
30Images
Preprocessing
Auto-Orient: Applied
Static Crop: 23-76% Horizontal Region, 25-79% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Saturation: Between -26% and +26%
Exposure: Between -5% and +5%
Noise: Up to 1.45% of pixels