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Spectral Labs Marine Dataset - Segmented

Instance Segmentation

Spectral Labs Marine Dataset - Segmented Image Dataset

Versions
2023-07-17 9:42pm
v11
Jul 18, 2023
2023-07-16 8:16pm
v10
Jul 17, 2023
2023-07-16 8:04pm
v9
Jul 17, 2023
2023-07-16 3:32pm
v8
Jul 16, 2023
2023-07-16 2:55pm
v7
Jul 16, 2023
2023-07-16 9:18am
v6
Jul 16, 2023
2023-07-15 3:30pm
v5
Jul 15, 2023
2023-07-15 11:16am
v4
Jul 15, 2023
2023-07-15 11:03am
v3
Jul 15, 2023
2023-07-14 6:57pm
v2
Jul 15, 2023
2023-07-14 6:52pm
v1
Jul 15, 2023
v7

2023-07-16 2:55pm

Generated on Jul 16, 2023
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3704 Total Images

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Dataset Split

Train Set 91%
3360Images
Valid Set 9%
344Images
Test Set %
0Images

Preprocessing

Resize: Fit (black edges) in 1280x1280
Modify Classes: 36 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -30° and +30°
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Cutout: 25 boxes with 10% size each