Dataset Versions

v2

2024-03-04 12:38pm

Generated on Mar 4, 2024

Dataset Split

Train Set 87%
3166Images
Valid Set 9%
309Images
Test Set 4%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1800x1350
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -2% and +2%
Brightness: Between -5% and +5%
Exposure: Between -2% and +2%

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