Dataset Versions
v2
2024-01-22 10:37am
Generated on Jan 22, 2024
1215 Total Images
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Dataset Split
Train Set 88%
1065Images
Valid Set 8%
99Images
Test Set 4%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±2° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.9px
Noise: Up to 1.53% of pixels