Dataset Versions
v3
2024-09-04 3:55pm
Generated on Sep 4, 2024
350 Total Images
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Dataset Split
Train Set 87%
306Images
Valid Set 8%
29Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 1 rows x 1 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels