Emergency Vehicle Detection Image Dataset

v3

Version 4
Generated May 26, 2022

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Train / Test Split

Training Set

88
3.2k
images

Validation Set

8
301
images

Testing Set

4
147
images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Exposure: Between -25% and +25%
Blur: Up to 1.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Details
Version Name: v3
Version ID: 4
Generated: May 26, 2022
Annotation Group: emergency-vehicles