Dataset Versions
v2
2025-01-08 6:40pm
Generated on Jan 8, 2025
658 Total Images
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Dataset Split
Train Set 88%
576Images
Valid Set 8%
55Images
Test Set 4%
27Images
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, 27% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -16° and +16°
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels