Dataset Versions
v2
2024-10-29 8:45am
Generated on Oct 29, 2024
741 Total Images
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Dataset Split
Train Set 87%
648Images
Valid Set 8%
62Images
Test Set 4%
31Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±6° Horizontal, ±11° Vertical
Saturation: Between -34% and +34%
Exposure: Between -14% and +14%
Blur: Up to 4.5px
Noise: Up to 1.88% of pixels