Dataset Versions
v4
2024-10-28 7:53pm
Generated on Oct 28, 2024
495 Total Images
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Dataset Split
Train Set 86%
426Images
Valid Set 10%
48Images
Test Set 4%
21Images
Preprocessing
Auto-Orient: Applied
Dynamic Crop: Class: baches-cocodrilo
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -33° and +33°
Grayscale: Apply to 100% of images
Saturation: Between -25% and +25%