Dataset Versions
v1
Segment 1
Generated on Dec 26, 2023
2012 Total Images
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Dataset Split
Train Set 88%
1761Images
Valid Set 8%
168Images
Test Set 4%
83Images
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 -50% and +50%
Exposure: Between -50% and +50%
Blur: Up to 10.5px
Noise: Up to 10% 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 -50% and +50%
Bounding Box: Exposure: Between -50% and +50%
Bounding Box: Blur: Up to 8px
Bounding Box: Noise: Up to 10% of pixels