Dataset Versions

v3

2024-01-30 5:20pm

Generated on Jan 30, 2024

Dataset Split

Train Set 92%
835Images
Valid Set 5%
48Images
Test Set 3%
24Images

Preprocessing

Auto-Orient: Applied
Static Crop: 14-90% Horizontal Region, 2-90% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -10° and +10°
Saturation: Between -10% and +10%
Exposure: Between -15% and +15%

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