Dataset Versions

v2

2024-07-25 5:21am

Generated on Jul 25, 2024

Dataset Split

Train Set 87%
447Images
Valid Set 13%
65Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 4% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -4% and +4%
Noise: Up to 0.1% of pixels

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