Dataset Versions
v19
Inflated
Generated on Sep 22, 2024
755 Total Images
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Dataset Split
Train Set 83%
627Images
Valid Set 8%
64Images
Test Set 8%
64Images
Preprocessing
Resize: Stretch to 800x800
Augmentations
Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.7px
Noise: Up to 0.5% of pixels