Dataset Versions

v4

2024-10-09 2:06pm

Generated on Oct 9, 2024

Dataset Split

Train Set 87%
3435Images
Valid Set 9%
350Images
Test Set 4%
163Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: Cardboard
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Noise: Up to 0.38% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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