Dataset Versions
Versions
v1
2024-06-13 7:11am
Generated on Jun 13, 2024
705 Total Images
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Dataset Split
Train Set 97%
681Images
Valid Set 2%
14Images
Test Set 1%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels