{"id":21174554,"url":"https://github.com/bniladridas/deepvision","last_synced_at":"2025-03-14T18:19:30.716Z","repository":{"id":220874877,"uuid":"752816851","full_name":"bniladridas/deepvision","owner":"bniladridas","description":"CIFAR-10 Image Classification with MobileNetV2","archived":false,"fork":false,"pushed_at":"2024-09-09T07:08:26.000Z","size":2964,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2024-11-20T16:55:38.512Z","etag":null,"topics":["data-science","machine-learning","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/bniladridas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-02-04T21:50:29.000Z","updated_at":"2024-09-09T07:10:42.000Z","dependencies_parsed_at":null,"dependency_job_id":"4806ceb4-2b98-4697-b54f-536de7a60b66","html_url":"https://github.com/bniladridas/deepvision","commit_stats":null,"previous_names":["niladrigithub/deepvision","niladrridas/deepvision-image-classification","niladrridas/deepvision","bniladridas/deepvision"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bniladridas%2Fdeepvision","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bniladridas%2Fdeepvision/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bniladridas%2Fdeepvision/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bniladridas%2Fdeepvision/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bniladridas","download_url":"https://codeload.github.com/bniladridas/deepvision/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":234938728,"owners_count":18910322,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","machine-learning","python"],"created_at":"2024-11-20T16:55:04.970Z","updated_at":"2025-01-21T11:21:05.029Z","avatar_url":"https://github.com/bniladridas.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🚀 **DeepVision**: Cutting-Edge Image Classification with TensorFlow \u0026 Keras\n\n## 🖼️ Overview\n\n**DeepVision** represents the pinnacle of image classification, leveraging state-of-the-art deep learning frameworks—**TensorFlow** and **Keras**—to deliver robust and accurate predictions. Built on the powerful **MobileNetV2** architecture and trained on the renowned **CIFAR-10** dataset, this project is engineered to classify a wide spectrum of objects efficiently.\n\n---\n\n## ✨ Key Features\n\n- **Deep Learning Excellence**: Implements TensorFlow and Keras for scalable model deployment.\n- **Advanced Architecture**: MobileNetV2 ensures a perfect balance between performance and speed.\n- **Diverse Dataset**: Trained on 60,000 32x32 color images from the CIFAR-10 dataset, spanning 10 distinct classes.\n- **Customizable Training**: Train over 5 epochs with adjustable hyperparameters to fine-tune performance.\n- **Comprehensive Evaluation**: Track metrics like test accuracy and loss for precise performance insights.\n\n---\n\n## 🚀 Getting Started\n\n### 🔧 Prerequisites\n\n- Python 3.x\n- TensorFlow\n- Matplotlib (optional for visualizations)\n\n### 💻 Installation\n\n1. **Clone the repository:**\n   ```bash\n   git clone https://github.com/niladridas/deepvision.git\n   ```\n\n2. **Navigate to the project directory:**\n   ```bash\n   cd deepvision\n   ```\n\n3. **Install dependencies:**\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n---\n\n## 📂 Usage\n\n1. **Run the classification script:**\n   ```bash\n   python src.py\n   ```\n\n2. **Monitor training progress and review test accuracy and optional visualizations.**\n\n---\n\n## 🔍 Preview\n\n![Sample Test Image](/data/test1.png)\n\n---\n\n## 📊 Results\n\n- **Training Accuracy**: ~75%\n- **Validation Accuracy**: ~73%\n- **Test Accuracy**: ~74%\n\n---\n\n## ⚖️ License\n\nThis project is open-source and licensed under the [MIT License](https://github.com/niladridas/deepvision?tab=MIT-1-ov-file).\n\n---\n\n## 🙌 Acknowledgments\n\n- Heartfelt thanks to the incredible **TensorFlow** and **Keras** communities.\n- CIFAR-10 dataset: [Access Here](https://www.cs.toronto.edu/~kriz/cifar.html)\n\n---\n\n## 🤝 Contributing\n\nContributions are welcome! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request. For major changes, please discuss them in an issue first to ensure they align with the project's goals.\n\n1. **Fork the repository**\n2. **Create a new branch** (`git checkout -b feature-branch`)\n3. **Commit your changes** (`git commit -m 'Add some feature'`)\n4. **Push to the branch** (`git push origin feature-branch`)\n5. **Open a pull request**\n\n---\n\n🌟 Contributions are welcome! Feel free to report issues, suggest improvements, or fork the repository to take this project to the next level.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbniladridas%2Fdeepvision","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbniladridas%2Fdeepvision","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbniladridas%2Fdeepvision/lists"}