Dataset Versions
v1
first augmentation
Generated on Sep 5, 2023
329 Total Images
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Dataset Split
Train Set 88%
288Images
Valid Set 6%
20Images
Test Set 6%
21Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -30° and +30°
Grayscale: Apply to 52% of images
Hue: Between -90° and +90°
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 5% of pixels