Car Detection Dataset

v1

2023-10-09 5:16pm

Generated on Oct 9, 2023

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Dataset Split

Train Set 87%
27Images
Valid Set 10%
3Images
Test Set 3%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±18° Vertical
Blur: Up to 2.25px
Noise: Up to 12% of pixels
Cutout: 10 boxes with 18% size each
Mosaic: Applied
auto-bus-car-truck-twowheeler
1000 images
person-cars-dogs-bike-lorry-pedestrian
32 images