goat data Dataset
v2
2024-09-03 6:42pm
Generated on Sep 3, 2024
2840 Total Images
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Dataset Split
Train Set 87%
2466Images
Valid Set 9%
244Images
Test Set 5%
130Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels