SunflowerTeste Computer Vision Model
Versions
1053 Total Images
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Dataset Split
Train Set 88%
921Images
Valid Set 8%
87Images
Test Set 4%
45Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -44° and +44°
Brightness: Between -20% and +20%
Exposure: Between -26% and +26%
Noise: Up to 6.03% of pixels