Dataset Versions

v2

2024-05-24 7:46am

Generated on May 24, 2024

Dataset Split

Train Set 86%
968Images
Valid Set 10%
112Images
Test Set 4%
48Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: vehicle
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -15° and +15°
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Brightness: Between -23% and +23%
Bounding Box: Blur: Up to 2.5px

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