Dataset Versions
Versions
v1
2023-10-23 9:33am
Generated on Oct 23, 2023
3829 Total Images
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Dataset Split
Train Set 92%
3540Images
Valid Set 5%
193Images
Test Set 3%
96Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -30° and +30°
Brightness: Between -38% and +38%
Exposure: Between -40% and +40%
Noise: Up to 10% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 3.5px
Bounding Box: Noise: Up to 10% of pixels