Project Title
pytorch-grad-cam — Advanced AI Explainability for Computer Vision with PyTorch
Overview
PyTorch-Grad-CAM is a Python package that offers state-of-the-art methods for explainable AI in computer vision. It supports a wide range of models and tasks, including CNNs, Vision Transformers, classification, object detection, and segmentation. The package is designed to diagnose model predictions and serve as a benchmark for new explainability methods.
Key Features
- Comprehensive collection of Pixel Attribution methods for Computer Vision
- Tested on many Common CNN Networks and Vision Transformers
- Advanced use cases: Classification, Object Detection, Semantic Segmentation, Embedding-similarity
- Includes smoothing methods to enhance CAMs appearance
- High performance: full support for batches of images in all methods
- Metrics for checking the trustworthiness of explanations and tuning for best performance
Use Cases
- Researchers and developers diagnosing model predictions in production or development
- Benchmarking algorithms and metrics for research of new explainability methods
- Enhancing the interpretability of AI models in computer vision tasks
Advantages
- Supports a wide range of models and computer vision tasks
- Includes various advanced methods for generating pixel attributions
- Provides metrics to evaluate the quality of explanations
- High performance with support for batch processing
Limitations / Considerations
- The project's license is currently unknown, which may affect its use in commercial applications
- The complexity of the methods may require a steep learning curve for new users
Similar / Related Projects
- LIME: A Python package for explaining the predictions of any classifier in a model-agnostic manner, but it is not specific to computer vision tasks.
- SHAP: A game theoretic approach to explain the output of any machine learning model, also not limited to computer vision.
- Captum: A PyTorch library for model interpretability, which offers a range of methods but may not be as specialized in computer vision as pytorch-grad-cam.
Basic Information
- GitHub: https://github.com/jacobgil/pytorch-grad-cam
- Stars: 12,055
- License: Unknown
- Last Commit: 2025-08-20
📊 Project Information
- Project Name: pytorch-grad-cam
- GitHub URL: https://github.com/jacobgil/pytorch-grad-cam
- Programming Language: Python
- ⭐ Stars: 12,055
- 🍴 Forks: 1,655
- 📅 Created: 2017-05-31
- 🔄 Last Updated: 2025-08-20
🏷️ Project Topics
Topics: [, ", c, l, a, s, s, -, a, c, t, i, v, a, t, i, o, n, -, m, a, p, s, ", ,, , ", c, o, m, p, u, t, e, r, -, v, i, s, i, o, n, ", ,, , ", d, e, e, p, -, l, e, a, r, n, i, n, g, ", ,, , ", e, x, p, l, a, i, n, a, b, l, e, -, a, i, ", ,, , ", e, x, p, l, a, i, n, a, b, l, e, -, m, l, ", ,, , ", g, r, a, d, -, c, a, m, ", ,, , ", i, m, a, g, e, -, c, l, a, s, s, i, f, i, c, a, t, i, o, n, ", ,, , ", i, n, t, e, r, p, r, e, t, a, b, i, l, i, t, y, ", ,, , ", i, n, t, e, r, p, r, e, t, a, b, l, e, -, a, i, ", ,, , ", i, n, t, e, r, p, r, e, t, a, b, l, e, -, d, e, e, p, -, l, e, a, r, n, i, n, g, ", ,, , ", m, a, c, h, i, n, e, -, l, e, a, r, n, i, n, g, ", ,, , ", o, b, j, e, c, t, -, d, e, t, e, c, t, i, o, n, ", ,, , ", p, y, t, o, r, c, h, ", ,, , ", s, c, o, r, e, -, c, a, m, ", ,, , ", v, i, s, i, o, n, -, t, r, a, n, s, f, o, r, m, e, r, s, ", ,, , ", v, i, s, u, a, l, i, z, a, t, i, o, n, s, ", ,, , ", x, a, i, ", ]
🔗 Related Resource Links
🌐 Related Websites
This article is automatically generated by AI based on GitHub project information and README content analysis