{"id":28702261,"url":"https://github.com/aditya-ranjan1234/textile-damage-detection-app","last_synced_at":"2025-06-14T12:32:15.726Z","repository":{"id":298840120,"uuid":"1001284204","full_name":"Aditya-Ranjan1234/Textile-Damage-Detection-App","owner":"Aditya-Ranjan1234","description":"A Streamlit-based web application for detecting damages and defects in textile materials using computer vision.","archived":false,"fork":false,"pushed_at":"2025-06-13T06:58:20.000Z","size":353,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-06-13T07:30:53.287Z","etag":null,"topics":["aiml","cnn","damage-detection","textile"],"latest_commit_sha":null,"homepage":"https://textile-damage-detection-app.streamlit.app/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Aditya-Ranjan1234.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null}},"created_at":"2025-06-13T06:03:14.000Z","updated_at":"2025-06-13T06:58:23.000Z","dependencies_parsed_at":"2025-06-13T07:31:45.324Z","dependency_job_id":"0639d3ab-e604-47de-a188-31beb1caa87b","html_url":"https://github.com/Aditya-Ranjan1234/Textile-Damage-Detection-App","commit_stats":null,"previous_names":["aditya-ranjan1234/textile-damage-detection-app"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Aditya-Ranjan1234/Textile-Damage-Detection-App","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Aditya-Ranjan1234%2FTextile-Damage-Detection-App","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Aditya-Ranjan1234%2FTextile-Damage-Detection-App/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Aditya-Ranjan1234%2FTextile-Damage-Detection-App/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Aditya-Ranjan1234%2FTextile-Damage-Detection-App/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Aditya-Ranjan1234","download_url":"https://codeload.github.com/Aditya-Ranjan1234/Textile-Damage-Detection-App/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Aditya-Ranjan1234%2FTextile-Damage-Detection-App/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":259816164,"owners_count":22915824,"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":["aiml","cnn","damage-detection","textile"],"created_at":"2025-06-14T12:30:46.598Z","updated_at":"2025-06-14T12:32:15.715Z","avatar_url":"https://github.com/Aditya-Ranjan1234.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Textile Damage Detection App\n\nA Streamlit-based web application for detecting damages and defects in textile materials using computer vision and YOLOv8.\n\n## Features\n\n- Browse through 10 sample textile defect images\n- Click on any image to view detailed detections\n- Adjustable confidence threshold for detections\n- Visual display of detected damages with bounding boxes\n- Real-time results with detailed detection information\n- Simple and intuitive user interface\n\n## Installation\n\n1. Clone this repository:\n   ```bash\n   git clone \u003crepository-url\u003e\n   cd textile-damage-detection-app\n   ```\n\n2. Create and activate a virtual environment (recommended):\n   ```bash\n   python -m venv venv\n   .\\\\venv\\\\Scripts\\\\activate  # On Windows\n   source venv/bin/activate    # On macOS/Linux\n   ```\n\n3. Install the required packages:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n## Usage\n\n1. Run the Streamlit app:\n   ```bash\n   streamlit run app.py\n   ```\n\n2. Open your web browser and navigate to the provided local URL (usually http://localhost:8501)\n\n3. Upload an image of textile material using the file uploader\n\n4. Adjust the confidence threshold using the slider in the sidebar if needed\n\n5. View the detection results and analysis\n\n## Project Structure\n\n```\ntextile-damage-detection-app/\n├── app.py                 # Main application file\n├── requirements.txt       # Python dependencies\n└── README.md             # This file\n```\n\n## Future Improvements\n\n- Integrate with a trained deep learning model for accurate defect detection\n- Add support for batch processing of multiple images\n- Implement export functionality for detection reports\n- Add more detailed analysis and statistics\n- Support for video input and real-time detection\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faditya-ranjan1234%2Ftextile-damage-detection-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faditya-ranjan1234%2Ftextile-damage-detection-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faditya-ranjan1234%2Ftextile-damage-detection-app/lists"}