Dataset Versions

v2

2022-10-04 7:39pm

Generated on Oct 5, 2022

Dataset Split

Train Set 92%
1305Images
Valid Set 6%
79Images
Test Set 2%
32Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x480
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Blur: Up to 2px
Bounding Box: Brightness: Between -32% and +32%
Bounding Box: Blur: Up to 5.75px
Bounding Box: Noise: Up to 5% of pixels

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