Dataset Versions
v1
V1
Generated on Jul 3, 2023
1015 Total Images
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Dataset Split
Train Set 87%
888Images
Valid Set 8%
85Images
Test Set 4%
42Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 5% of pixels