Dataset Versions

v1

2024-11-24 10:52pm

Generated on Nov 25, 2024

Dataset Split

Train Set 85%
696Images
Valid Set 15%
120Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.5px

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