work_t1 Image Dataset
v2
2024-05-06 11:12pm
Generated on May 6, 2024
1759 Total Images
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Dataset Split
Train Set 87%
1539Images
Valid Set 8%
147Images
Test Set 4%
73Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 25% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 0.34% of pixels
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