Dataset Versions
Versions
v1
2024-12-08 8:18pm
Generated on Dec 9, 2024
312 Total Images
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Dataset Split
Train Set 88%
273Images
Valid Set 8%
26Images
Test Set 4%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 0% Maximum Zoom
Rotation: Between -0° and +0°
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 9% of images
Hue: Between -11° and +11°
Saturation: Between -7% and +7%
Brightness: Between -4% and +4%
Exposure: Between -5% and +5%
Blur: Up to 0px
Noise: Up to 0% of pixels