Dataset Versions
v2
2024-10-19 10:47am
Generated on Oct 19, 2024
48 Total Images
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Dataset Split
Train Set 88%
42Images
Valid Set 8%
4Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -21° and +21°
Shear: ±14° Horizontal, ±19° Vertical
Saturation: Between -34% and +34%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 1.64% of pixels