Dataset Versions
v1
2023-06-16 11:40pm
Generated on Jun 16, 2023
2336 Total Images
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Dataset Split
Train Set 92%
2154Images
Valid Set 4%
88Images
Test Set 4%
94Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 1px
Noise: Up to 2% of pixels