Dataset Versions
v3
Segment 3
Generated on Jan 2, 2024
6753 Total Images
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Dataset Split
Train Set 88%
5910Images
Valid Set 8%
562Images
Test Set 4%
281Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.8px
Noise: Up to 1.5% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Brightness: Between -20% and +20%
Bounding Box: Exposure: Between -20% and +20%
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 2% of pixels