Base_dataset Dataset

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2023-10-24 7:22am
v30
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a year ago
Tiled
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HQ_delval
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HQ_val
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LQ_delval
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LQ_val
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2023-10-18 12:03pm
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ERSGAN_LQ
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LQ_deleteval-
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LQ_with_val
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2023-10-10 6:01pm
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2023-10-10 6:00pm
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2023-10-10 5:58pm
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2023-09-29 11:56am
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v15

LQ_deleteval-

Generated on Oct 12, 2023
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1200 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 88%
1050Images
Valid Set 13%
150Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-98% Vertical Region
Resize: Stretch to 768x448
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 94% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 5% of pixels

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