Dataset Versions
v4
2023-03-27 11:15am
Generated on Mar 27, 2023
12 Total Images
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Dataset Split
Train Set 75%
9Images
Valid Set 8%
1Images
Test Set 17%
2Images
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°
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -25% and +25%