Instance segmentation Image Dataset
v5
2024-06-12 2:13pm
Generated on Jun 12, 2024
605 Total Images
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Dataset Split
Train Set 92%
558Images
Valid Set 4%
25Images
Test Set 4%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 5.01% of pixels
Cutout: 3 boxes with 16% size each
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