Dataset Versions
v5
2024-08-29 6:11pm
Generated on Aug 29, 2024
435 Total Images
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Dataset Split
Train Set 88%
381Images
Valid Set 8%
36Images
Test Set 4%
18Images
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 -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 3.4px
Noise: Up to 1.33% of pixels