Dataset Versions

v1

2024-07-04 4:09pm

Generated on Jul 4, 2024

Dataset Split

Train Set 88%
1512Images
Valid Set 8%
144Images
Test Set 4%
70Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x240
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -13% and +13%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.1% of pixels

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