Dataset Versions

v2

2023-10-23 7:22pm

Generated on Oct 23, 2023

Dataset Split

Train Set 87%
7692Images
Valid Set 8%
712Images
Test Set 5%
422Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Noise: Up to 5% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Crop: 0% Minimum Zoom, 19% Maximum Zoom
Bounding Box: Noise: Up to 5% of pixels

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