Dataset Versions

v4

2024-09-11 3:08am

Generated on Sep 11, 2024

Dataset Split

Train Set 87%
1095Images
Valid Set 13%
158Images
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 -4% and +4%
Exposure: Between -5% and +5%
Noise: Up to 0.1% of pixels

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