QUT2022

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Stromatolites onboard detector (224 labels)

Semantic Segmentation

Stromatolites onboard detector (224 labels) Image Dataset

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Versions
2022-10-04 11:40am
v3
Oct 4, 2022
2022-09-28 6:25pm
v2
Sep 28, 2022
2022-09-28 6:01pm
v1
Sep 28, 2022
v2

2022-09-28 6:25pm

Generated on Sep 28, 2022
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538 Total Images

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Dataset Split

Train Set 88%
471Images
Valid Set 8%
45Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x384
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -35° and +35°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 0.25px