Dataset Versions

v5

2024-09-24 1:46pm

Generated on Sep 24, 2024

Dataset Split

Train Set 88%
270Images
Valid Set 8%
25Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -95% and +95%
Blur: Up to 2px
Noise: Up to 10% of pixels
Bounding Box: Exposure: Between -15% and +15%
Bounding Box: Noise: Up to 0.47% of pixels

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