Project

Emergency Vehicle Detection

Object Detection

Emergency Vehicle Detection Image Dataset

v2

v2

Generated on Apr 7, 2022

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Dataset Split

Train Set 87%
972Images
Valid Set 9%
97Images
Test Set 4%
45Images

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