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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2023-10-18 12:00pm
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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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2023-10-09 11:43am
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2023-10-09 11:33am
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2023-09-29 11:56am
v1
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v8

2023-10-09 11:33am

Generated on Oct 9, 2023
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3351 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 91%
3054Images
Valid Set 9%
296Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-98% Vertical Region
Tile: 2 rows x 3 columns
Filter Null: Require at least 98% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 8px
Noise: Up to 10% of pixels

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