Dataset Versions

v27

2023-10-28 11:56pm

Generated on Oct 28, 2023

Dataset Split

Train Set 86%
7368Images
Valid Set 9%
759Images
Test Set 5%
391Images

Preprocessing

Isolate Objects: Applied
Resize: Stretch to 384x384
Modify Classes: 25 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Hue: Between -50° and +50°
Saturation: Between -26% and +26%
Brightness: Between -23% and +23%
Exposure: Between -19% and +19%
Noise: Up to 10% of pixels

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