{"id":20154878,"url":"https://github.com/salim4n/fire_detection","last_synced_at":"2025-06-26T08:03:35.253Z","repository":{"id":188792422,"uuid":"679436477","full_name":"salim4n/Fire_Detection","owner":"salim4n","description":"Entrainement sur YOLOV8 pour qu'il puisse detecter du feu","archived":false,"fork":false,"pushed_at":"2023-08-16T22:14:53.000Z","size":7804,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-03T01:32:13.706Z","etag":null,"topics":["deep-learning","fine-tuning","machine-learning","object-detection","opencv","python","video","yolov8"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/salim4n.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}},"created_at":"2023-08-16T20:57:12.000Z","updated_at":"2024-10-16T05:02:09.000Z","dependencies_parsed_at":"2023-08-16T22:36:12.169Z","dependency_job_id":null,"html_url":"https://github.com/salim4n/Fire_Detection","commit_stats":null,"previous_names":["salim4n/fire_detection"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/salim4n/Fire_Detection","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/salim4n%2FFire_Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/salim4n%2FFire_Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/salim4n%2FFire_Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/salim4n%2FFire_Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/salim4n","download_url":"https://codeload.github.com/salim4n/Fire_Detection/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/salim4n%2FFire_Detection/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262026905,"owners_count":23246951,"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":["deep-learning","fine-tuning","machine-learning","object-detection","opencv","python","video","yolov8"],"created_at":"2024-11-13T23:28:51.923Z","updated_at":"2025-06-26T08:03:35.234Z","avatar_url":"https://github.com/salim4n.png","language":"Jupyter Notebook","readme":"# Fire Detection using YOLOv8\n\n[Fire Detection]\n\nThis repository contains an implementation of YOLOv8 trained to detect fire. The YOLO (You Only Look Once) algorithm is a real-time object detection system.\n\n## Getting Started\n\n1. **Clone the Repository**: Clone this repository to your local machine using `git clone https://github.com/salim4n/Fire_Detection.git`.\n\n2. **Install Python**: Make sure you have Python installed on your computer.\n\n3. **Run the Code**: Open a terminal/command prompt, navigate to the cloned repository, and run the command `python main.py` to start the fire detection application.\n\n## Demo\n\nCheck out this demo video to see the fire detection in action:\n\n[Watch the Demo Video](https://youtube.com/shorts/RobJMNTdx6E?feature=share)\n\n## Usage\n\n- The `main.py` script processes a video stream in real-time, detecting fire using the trained YOLOv8 model.\n- Use the webcam or provide a video file as input for detection.\n- Detected fires are highlighted in the video with bounding boxes.\n- Feel free to experiment with different video sources and scenarios.\n\n\n## License\n\nThis project is licensed under the [MIT License](LICENSE).\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsalim4n%2Ffire_detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsalim4n%2Ffire_detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsalim4n%2Ffire_detection/lists"}