Dataset Versions
Versions
v1
2024-12-16 7:17pm
Generated on Dec 17, 2024
419 Total Images
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Dataset Split
Train Set 87%
366Images
Valid Set 4%
15Images
Test Set 9%
38Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -12° and +12°
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical