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can_seg

Instance Segmentation

can_seg Image Dataset

Versions
2024-04-18 12:42pm
v2
Apr 18, 2024
2024-04-18 12:42pm
v1
Apr 18, 2024
v2

2024-04-18 12:42pm

Generated on Apr 18, 2024
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460 Total Images

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Dataset Split

Train Set 87%
402Images
Valid Set 8%
39Images
Test Set 4%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
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%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels