Dataset Versions

v6

2024-09-11 7:32am

Generated on Sep 11, 2024

Dataset Split

Train Set 96%
100Images
Valid Set %
0Images
Test Set 4%
4Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: cable
Resize: Fit (black edges) in 1024x1024
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 5
Rotation: Between -7° and +7°
Saturation: Between -8% and +8%
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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