Dataset Versions

v1

COCCO_plus_augmented

Generated on Oct 4, 2023

Dataset Split

Train Set 88%
7176Images
Valid Set 8%
664Images
Test Set 4%
336Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 256x256
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%

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