Dataset Versions
Versions
v1
V 1.0
Generated on Dec 26, 2024
1536 Total Images
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Dataset Split
Train Set 88%
1344Images
Valid Set 8%
127Images
Test Set 4%
65Images
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, 29% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.99% of pixels