Dataset Versions
v2
2024-12-27 10:59pm
Generated on Dec 27, 2024
798 Total Images
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Dataset Split
Train Set 95%
762Images
Valid Set 3%
24Images
Test Set 2%
12Images
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 12% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 1.05% of pixels