Dataset Versions
v3
2022-10-18 2:57pm
Generated on Oct 18, 2022
192 Total Images
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Dataset Split
Train Set 88%
168Images
Valid Set 8%
16Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 750x750
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 3px
Noise: Up to 5% of pixels
Mosaic: Applied