Dataset Versions

v1

2024-07-16 4:17pm

Generated on Jul 16, 2024

Dataset Split

Train Set 100%
22773Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 1.01% of pixels

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