Dataset Versions
Versions
v1
2024-08-01 5:13pm
Generated on Aug 1, 2024
8572 Total Images
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Dataset Split
Train Set 87%
7497Images
Valid Set 8%
717Images
Test Set 4%
358Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 23% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.5px
Noise: Up to 1.96% of pixels