Dataset Versions

v17

2023-09-28 10:02am

Generated on Sep 28, 2023

Dataset Split

Train Set 75%
164Images
Valid Set 25%
55Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 800x800
Modify Classes: 11 remapped, 21 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 1px
Mosaic: Applied
Bounding Box: Noise: Up to 2% of pixels

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