Dataset Versions
v1
2024-01-29 11:34am
Generated on Jan 29, 2024
291 Total Images
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Dataset Split
Train Set 88%
255Images
Valid Set 8%
24Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Shear: ±13° Horizontal, ±14° Vertical
Grayscale: Apply to 37% of images
Hue: Between -115° and +115°
Brightness: Between -22% and +22%
Blur: Up to 2.4px
Noise: Up to 2.39% of pixels