Contact emails
Samet Akcay
GitHub: @samet-akcay
Email: samet.akcay@intel.com
Rajesh Gangireddy
GitHub: @rajeshgangireddy
Email: rajesh.gangireddy@intel.com
Ashwin Vaidya
GitHub: @ashwinvaidya17
Email: ashwin.vaidya@intel.com
Project summary
Anomalib is a deep learning library that aims to collect state-of-the-art anomaly detection algorithms for benchmarking on both public and private datasets.
Project description
Anomalib is a deep learning library that aims to collect state-of-the-art anomaly detection algorithms for benchmarking on both public and private datasets. Anomalib provides several ready-to-use implementations of anomaly detection algorithms described in the recent literature, as well as a set of tools that facilitate the development and implementation of custom models. The library has a strong focus on visual anomaly detection, where the goal of the algorithm is to detect and/or localize anomalies within images or videos in a dataset.
Are there any other projects in the PyTorch Ecosystem similar to yours? If, yes, what are they?
TBA
Project repo URL
https://github.com/open-edge-platform/anomalib
Additional repos in scope of the application
No response
Project license
Apache 2.0
GitHub handles of the project maintainer(s)
Samet Akcay
GitHub: @samet-akcay
Email: samet.akcay@intel.com
Rajesh Gangireddy
GitHub: @rajeshgangireddy
Email: rajesh.gangireddy@intel.com
Ashwin Vaidya
GitHub: @ashwinvaidya17
Email: ashwin.vaidya@intel.com
Is there a corporate or academic entity backing this project? If so, please provide the name and URL of the entity.
No response
Website URL
https://github.com/open-edge-platform/anomalib
Documentation
https://anomalib.readthedocs.io/en/latest/
How do you build and test the project today (continuous integration)? Please describe.
TBA
Version of PyTorch
2.6+
Components of PyTorch
TBA
How long do you expect to maintain the project?
TBA
Additional information
No response
Contact emails
Samet Akcay
GitHub: @samet-akcay
Email: samet.akcay@intel.com
Rajesh Gangireddy
GitHub: @rajeshgangireddy
Email: rajesh.gangireddy@intel.com
Ashwin Vaidya
GitHub: @ashwinvaidya17
Email: ashwin.vaidya@intel.com
Project summary
Anomalib is a deep learning library that aims to collect state-of-the-art anomaly detection algorithms for benchmarking on both public and private datasets.
Project description
Anomalib is a deep learning library that aims to collect state-of-the-art anomaly detection algorithms for benchmarking on both public and private datasets. Anomalib provides several ready-to-use implementations of anomaly detection algorithms described in the recent literature, as well as a set of tools that facilitate the development and implementation of custom models. The library has a strong focus on visual anomaly detection, where the goal of the algorithm is to detect and/or localize anomalies within images or videos in a dataset.
Are there any other projects in the PyTorch Ecosystem similar to yours? If, yes, what are they?
TBA
Project repo URL
https://github.com/open-edge-platform/anomalib
Additional repos in scope of the application
No response
Project license
Apache 2.0
GitHub handles of the project maintainer(s)
Samet Akcay
GitHub: @samet-akcay
Email: samet.akcay@intel.com
Rajesh Gangireddy
GitHub: @rajeshgangireddy
Email: rajesh.gangireddy@intel.com
Ashwin Vaidya
GitHub: @ashwinvaidya17
Email: ashwin.vaidya@intel.com
Is there a corporate or academic entity backing this project? If so, please provide the name and URL of the entity.
No response
Website URL
https://github.com/open-edge-platform/anomalib
Documentation
https://anomalib.readthedocs.io/en/latest/
How do you build and test the project today (continuous integration)? Please describe.
TBA
Version of PyTorch
2.6+
Components of PyTorch
TBA
How long do you expect to maintain the project?
TBA
Additional information
No response