Julius Müller

AllLabels

Object Detection

AllLabels Image Dataset

v3

WithAdditionalParameters

Generated on Oct 10, 2021

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Dataset Split

Train Set 94%
2943Images
Valid Set %
0Images
Test Set 6%
173Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°