Dataset Versions
v3
2022-12-28 6:25pm
Generated on Dec 28, 2022
740 Total Images
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Dataset Split
Train Set 92%
680Images
Valid Set 5%
36Images
Test Set 3%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -26° and +26°
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%