Dataset Versions
v1
versi2
Generated on Mar 26, 2023
176 Total Images
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Dataset Split
Train Set 87%
153Images
Valid Set 8%
14Images
Test Set 5%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±20° Horizontal, ±14° Vertical
Grayscale: Apply to 33% of images
Hue: Between -17° and +17°
Brightness: Between -37% and +37%
Exposure: Between -23% and +23%
Blur: Up to 0.5px
Noise: Up to 4% of pixels
Bounding Box: Brightness: Between -23% and +23%