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Vastocara2
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a month ago
Vastocara
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Vastocara2

Generated on Oct 22, 2024
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Dataset Split

Train Set 88%
420Images
Valid Set 8%
40Images
Test Set 4%
19Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px

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