Dataset Versions
Versions
v1
2024-04-23 1:01am
Generated on Apr 22, 2024
2035 Total Images
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Dataset Split
Train Set 87%
1773Images
Valid Set 9%
177Images
Test Set 4%
85Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 512x512
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Brightness: Between -15% and +15%