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ArticFireSegmentation

Instance Segmentation

ArticFireSegmentation Image Dataset

Versions
Instance Segmentation v1
v3
·
11 days ago
augmented_4800
v2
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a month ago
Basic-1
v1
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2 months ago
v3

Instance Segmentation v1

Generated on Jun 18, 2024
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4800 Total Images

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Dataset Split

Train Set 88%
4200Images
Valid Set 8%
400Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x720
Auto-Adjust Contrast: Using Contrast Stretching

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
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels