public

Vehicles-OpenImage

Object Detection

Vehicles-OpenImage Image Dataset

v3

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Generated on Apr 29, 2022

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Dataset Split

Train Set 88%
1500Images
Valid Set 8%
134Images
Test Set 4%
71Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 4 remapped, 1 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -50% and +50%
Brightness: Between -35% and +35%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 1% of pixels
Cutout: 3 boxes with 10% size each