Dataset Versions
v4
2024-09-15 4:49pm
Generated on Sep 15, 2024
9583 Total Images
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Dataset Split
Train Set 87%
8382Images
Valid Set 8%
803Images
Test Set 4%
398Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%