Nishil Agrawal

Truck2

Object Detection

Truck2 Image Dataset

v1

Truck2

Generated on Mar 10, 2022

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Dataset Split

Train Set 95%
11252Images
Valid Set 5%
563Images
Test Set 1%
63Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -6% and +6%
Blur: Up to 1.25px