Julius Müller

AllLabels

Object Detection

AllLabels Image Dataset

v4

Test2

Generated on Oct 11, 2021

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Dataset Split

Train Set 95%
3213Images
Valid Set %
0Images
Test Set 5%
183Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Blur: Up to 10px
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Noise: Up to 5% of pixels