Dataset Versions
v4
2023-04-23 2:30pm
Generated on Apr 23, 2023
494 Total Images
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Dataset Split
Train Set 86%
426Images
Valid Set 9%
44Images
Test Set 5%
24Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -28° and +28°
Shear: ±16° Horizontal, ±15° Vertical
Grayscale: Apply to 31% of images
Brightness: Between -40% and +40%
Exposure: Between -12% and +12%
Noise: Up to 5% of pixels