markingdetection

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smt-clip

Classification

smt-clip Image Dataset

Try Pre-Trained Model
Versions
raw_images_v2
v5
·
5 months ago
2024-01-17 10:37am
v4
·
5 months ago
raw_images
v3
·
5 months ago
2024-01-16 12:03pm
v1
·
5 months ago
v4

2024-01-17 10:37am

Generated on Jan 17, 2024
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628 Total Images

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Dataset Split

Train Set 90%
567Images
Valid Set 7%
41Images
Test Set 3%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1024
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Saturation: Between -13% and +13%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.3px
Noise: Up to 0.61% of pixels