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Dataset3

Instance Segmentation

Dataset3 Image Dataset

Versions
701515-contrast-stretching
v58
Apr 28, 2024
701515-50-null-moreAug
v55
Apr 28, 2024
701515-nontiled
v48
Apr 18, 2024
701515-NULL20
v47
Apr 18, 2024
9055
v43
Mar 29, 2024
602020
v38
Mar 28, 2024
701515
v31
Mar 28, 2024
801010
v27
Mar 28, 2024
2024-03-28 3:26pm
v26
Mar 28, 2024
2024-03-27 4:33pm
v14
Mar 27, 2024
OneClass-Tiled-Resized640
v3
Mar 23, 2024
v58

701515-contrast-stretching

Generated on Apr 28, 2024
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1109 Total Images

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Dataset Split

Train Set 70%
771Images
Valid Set 16%
174Images
Test Set 15%
164Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 4 rows x 4 columns
Filter Null: Require at least 40% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 15% of images
Saturation: Between -15% and +15%
Brightness: Between -10% and +10%