Dataset Versions
v4
2023-10-05 4:00pm
Generated on Oct 5, 2023
533 Total Images
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Dataset Split
Train Set 92%
492Images
Valid Set 8%
41Images
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, Upside Down
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 75% of images
Hue: Between -95° and +95°
Saturation: Between -66% and +66%
Brightness: Between -21% and +21%
Exposure: Between -6% and +6%
Blur: Up to 0.75px
Noise: Up to 2% of pixels
Mosaic: Applied