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Piombino

Object Detection

Piombino Image Dataset

v33

2x2 tiles

Generated on Jul 18, 2023

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Dataset Split

Train Set 90%
3829Images
Valid Set 5%
226Images
Test Set 5%
203Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1820x2048
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Mosaic: Applied