Dataset Versions
v1
2024-11-10 4:48am
Generated on Nov 10, 2024
2205 Total Images
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Dataset Split
Train Set 87%
1929Images
Valid Set 8%
184Images
Test Set 4%
92Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels