Dataset Versions
v6
2024-07-27 4:08pm
Generated on Jul 27, 2024
284 Total Images
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Dataset Split
Train Set 88%
249Images
Valid Set 8%
23Images
Test Set 4%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Brightness: Between -23% and +23%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.84% of pixels