License¶

This project is licensed under the Apache License 2.0.

Apache License 2.0¶

Copyright 2025 Abdul Bari, Jasmin Flores, Nabeel Alzahrani

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

What This Means¶

The Apache 2.0 license is a permissive open-source license that:

✅ Allows You To:¶

Use the software for commercial purposes
Modify the source code
Distribute the original or modified versions
Patent use - grants patent rights from contributors to users
Private use - use and modify privately without sharing changes

⚠️ Requires You To:¶

Include copyright notice - must include the Apache 2.0 license in any distribution
State changes - document significant modifications
Include license - must include a copy of the Apache 2.0 license with distributions

❌ Limitations:¶

No liability - software is provided "as is" without warranty
No trademark use - does not grant rights to use trademarks
No warranty - no guarantee of merchantability or fitness for a particular purpose

Full License Text¶

The complete Apache 2.0 license can be found in the LICENSE file in the repository root.

Third-Party Licenses¶

This project uses several third-party libraries and frameworks, each with their own licenses:

PyTorch - BSD-style license
Transformers (Hugging Face) - Apache 2.0
Scikit-learn - BSD 3-Clause
NumPy - BSD License
Pandas - BSD 3-Clause
Matplotlib - PSF-based license
OpenCV - Apache 2.0

Please see the respective project repositories for full license texts.

Citation Requirements¶

While not legally required by the Apache 2.0 license, we strongly encourage citing the foundational survey paper when using this work academically:

@article{flores2025fairness,
  title={AI Skin Cancer Detection Across Skin Tones: A Survey of Experimental Advances, Fairness Techniques, and Dataset Limitations},
  author={Flores, Jasmin and Alzahrani, Nabeel},
  journal={Computers (MDPI)},
  year={2025},
  note={Submitted}
}

Contact¶

For licensing questions: abdul.bari8019@coyote.csusb.edu