Seed Instance Segmentation Dataset

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2024-07-06 2:33am
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2024-07-06 2:33am
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2024-07-06 2:16am
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2024-07-06 2:33am

Generated on Jul 6, 2024
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630 Total Images

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Dataset Split

Train Set 88%
552Images
Valid Set 8%
52Images
Test Set 4%
26Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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