Dataset Versions

v9

ReetiquetadoDeGrietas

Generated on Apr 18, 2024

Dataset Split

Train Set 88%
459Images
Valid Set 8%
40Images
Test Set 5%
24Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Saturation: Between -30% and +30%
Exposure: Between -15% and +15%