Dataset Versions
v2
2024-10-10 9:40pm
Generated on Oct 10, 2024
288 Total Images
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Dataset Split
Train Set 88%
252Images
Valid Set 8%
24Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -45° and +45°
Hue: Between -180° and +180°
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Exposure: Between -99% and +99%
Bounding Box: Blur: Up to 2.5px