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RDSL

Object Detection

RDSL Image Dataset

v3

ABCDE_Version

Generated on Jan 16, 2023

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Dataset Split

Train Set 95%
17934Images
Valid Set 5%
862Images
Test Set 1%
168Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 26 remapped, 45 dropped

Augmentations

Outputs per training example: 2
Rotation: Between -36° and +36°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -180° and +180°
Saturation: Between -35% and +35%
Brightness: Between -44% and +44%
Exposure: Between -23% and +23%
Blur: Up to 3px
Cutout: 5 boxes with 16% size each