Dataset Versions
v3
recomend pre-processing and augmentations
Generated on Dec 16, 2024
303 Total Images
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Dataset Split
Train Set 100%
303Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 4.5px
Noise: Up to 1.96% of pixels