my image segmentation Dataset

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2023-11-16 6:52pm
v7
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8 months ago
2023-10-17 4:48pm
v6
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9 months ago
2023-10-17 4:32pm
v5
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9 months ago
2023-10-15 4:17pm
v4
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9 months ago
2023-10-14 4:01pm
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9 months ago
2023-10-14 3:37pm
v2
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9 months ago
2023-10-14 2:09pm
v1
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9 months ago
v7

2023-11-16 6:52pm

Generated on Nov 16, 2023
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278 Total Images

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Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image Annotation VisualizationDataset Image

Dataset Split

Train Set 86%
240Images
Valid Set 10%
28Images
Test Set 4%
10Images

Preprocessing

Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 100% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels