Dataset Versions
v3
2024-12-11 1:18am
Generated on Dec 10, 2024
198 Total Images
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Dataset Split
Train Set 88%
174Images
Valid Set 8%
16Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -30° and +30°
Shear: ±18° Horizontal, ±4° Vertical
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -40% and +40%
Blur: Up to 3px
Noise: Up to 1.8% of pixels
Mosaic: Applied