Dataset Versions

v3

2024-01-16 8:33pm

Generated on Jan 16, 2024

Dataset Split

Train Set 85%
81Images
Valid Set 7%
7Images
Test Set 7%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Noise: Up to 0.98% of pixels

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