Emergency Vehicle Detection Image Dataset

v2

Version 2
Generated Apr 7, 2022

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Train / Test Split

Training Set

87
972
images

Validation Set

9
97
images

Testing Set

4
45
images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
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: v2
Version ID: 2
Generated: Apr 7, 2022
Annotation Group: emergency-vehicles