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
v19
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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 11:33am
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2023-09-29 11:56am
v1
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v23

LQ_val

Generated on Oct 19, 2023
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1280 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%
1170Images
Valid Set 9%
110Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-98% Vertical Region
Resize: Stretch to 960x540
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 95% 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 -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels

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