Dataset Versions

v4

2024-04-08 4:21pm

Generated on Apr 8, 2024

Dataset Split

Train Set 84%
114Images
Valid Set 7%
10Images
Test Set 9%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 24% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.02% of pixels

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