Dataset Versions
Versions
v1
version1
Generated on Aug 22, 2023
248 Total Images
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Dataset Split
Train Set 87%
216Images
Valid Set 8%
20Images
Test Set 5%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1920x1080
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 13% size each