Dataset Versions
v1
2025-01-07 12:23am
Generated on Jan 6, 2025
500 Total Images
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Dataset Split
Train Set 90%
450Images
Valid Set %
0Images
Test Set 10%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 42% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -24° and +24°
Saturation: Between -31% and +31%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Blur: Up to 3.1px
Noise: Up to 0.7% of pixels