Dataset Versions
v2
2024-09-23 5:56am
Generated on Sep 23, 2024
178 Total Images
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Dataset Split
Train Set 93%
165Images
Valid Set 4%
7Images
Test Set 3%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Noise: Up to 2.52% of pixels
Cutout: 12 boxes with 6% size each