Dataset Versions
v1
2023-09-28 1:43pm
Generated on Sep 28, 2023
1304 Total Images
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Dataset Split
Train Set 94%
1230Images
Valid Set 3%
42Images
Test Set 2%
32Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 8% of pixels