Dataset Versions
Versions
v1
2023-01-24 12:59pm
Generated on Jan 24, 2023
744 Total Images
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Dataset Split
Train Set 88%
651Images
Valid Set 8%
62Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels