Dataset Versions
v2
2024-06-14 6:28pm
Generated on Jun 14, 2024
308 Total Images
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Dataset Split
Train Set 80%
246Images
Valid Set 13%
39Images
Test Set 7%
23Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Vertical
90° Rotate: Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.76% of pixels