Dataset Versions
v1
2024-05-07 2:31pm
Generated on May 7, 2024
840 Total Images
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Dataset Split
Train Set 88%
735Images
Valid Set 8%
70Images
Test Set 4%
35Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -70% and +70%
Exposure: Between -34% and +34%
Blur: Up to 3.1px
Noise: Up to 7.86% of pixels