Dataset Versions
v4
ANIMAL_CLS_L
Generated on Jun 4, 2023
3999 Total Images
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Dataset Split
Train Set 87%
3492Images
Valid Set 8%
328Images
Test Set 4%
179Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±34° Horizontal, ±31° Vertical
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 5 boxes with 14% size each