Dataset Versions
v2
2024-05-18 9:36pm
Generated on May 18, 2024
1856 Total Images
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Dataset Split
Train Set 90%
1671Images
Valid Set 6%
120Images
Test Set 4%
65Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.58% of pixels