Dataset Versions
Versions
v1
2024-05-03 5:12pm
Generated on May 3, 2024
643 Total Images
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Dataset Split
Train Set 90%
579Images
Valid Set 8%
51Images
Test Set 2%
13Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.33% of pixels