Dataset Versions
v1
2024-06-15 5:22pm
Generated on Jun 15, 2024
2091 Total Images
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Dataset Split
Train Set 88%
1839Images
Valid Set 8%
168Images
Test Set 4%
84Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Hue: Between -18° and +18°
Saturation: Between -25% and +25%
Brightness: Between -49% and +49%
Exposure: Between -12% and +12%
Blur: Up to 3.4px
Noise: Up to 1.05% of pixels