Dataset Versions
v3
2023-03-02 5:43pm
Generated on Mar 2, 2023
969 Total Images
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Dataset Split
Train Set 87%
846Images
Valid Set 8%
82Images
Test Set 4%
41Images
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, 61% Maximum Zoom
Rotation: Between -21° and +21°
Shear: ±45° Horizontal, ±10° Vertical
Grayscale: Apply to 49% of images
Hue: Between -64° and +64°
Saturation: Between -63% and +63%