Factual package intelligence from PyPI

aiverify-digital-corruptions 2.2.1 package intelligence

Part of AI Verify image corruption toolbox. This package includes algorithms that add digital corruptions (brightness up and down, contrast up and down, compression, random tilt, saturate) to images at different severity levels, to test the robustness of machine learning models.

pip install aiverify-digital-corruptions

Current version
2.2.1
Python requirement
<3.13,>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
51.0 KiB
Release history
6 releases with files
Median release cadence
121 days

aiverify-digital-corruptions dependencies

PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. aiverify-test-engine >=2.2.1
  2. albumentations >=2.0.4
  3. numpy ==1.26.4
  4. pandas ==2.2.2
  5. pillow >=12.1.1

Compatibility and release files

aiverify-digital-corruptions publishes 1 wheel and 1 source archive for version 2.2.1. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.