Dataset Versions
v2
2024-05-09 8:24am
Generated on May 9, 2024
466 Total Images
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Dataset Split
Train Set 88%
408Images
Valid Set 8%
39Images
Test Set 4%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.49% of pixels