{"id":26489120,"url":"https://github.com/tedoaba/yolov5-image-tampering-detection","last_synced_at":"2025-03-20T07:20:00.467Z","repository":{"id":232147157,"uuid":"783579333","full_name":"tedoaba/YOLOv5-Image-Tampering-Detection","owner":"tedoaba","description":"Image-Tampering-Detection-using-YOLOv5","archived":false,"fork":false,"pushed_at":"2024-04-08T07:27:01.000Z","size":11,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-04-08T08:28:01.299Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"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/tedoaba.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}},"created_at":"2024-04-08T07:06:40.000Z","updated_at":"2024-04-08T08:28:03.926Z","dependencies_parsed_at":"2024-04-08T08:28:03.735Z","dependency_job_id":"05fb0809-beb9-420a-9c7f-a8869a72a831","html_url":"https://github.com/tedoaba/YOLOv5-Image-Tampering-Detection","commit_stats":null,"previous_names":["tedoaba/yolov5-image-tampering-detection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tedoaba%2FYOLOv5-Image-Tampering-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tedoaba%2FYOLOv5-Image-Tampering-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tedoaba%2FYOLOv5-Image-Tampering-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tedoaba%2FYOLOv5-Image-Tampering-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tedoaba","download_url":"https://codeload.github.com/tedoaba/YOLOv5-Image-Tampering-Detection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244566946,"owners_count":20473451,"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":[],"created_at":"2025-03-20T07:19:59.977Z","updated_at":"2025-03-20T07:20:00.455Z","avatar_url":"https://github.com/tedoaba.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image Tampering Recognition using YOLOv5\n\nThis repository contains an implementation of image tampering recognition using YOLOv5, based on the paper [\"Image Tampering Recognition Algorithm using Improved YOLOv5\"](https://ieeexplore.ieee.org/document/10238704) by Z. Liu.\n\n## Paper Information\n\n- **Title**: Image Tampering Recognition Algorithm using Improved YOLOv5\n- **Paper Link**: [IEEE Xplore](https://ieeexplore.ieee.org/document/10238704)\n- **Citation**: Z. Liu, \"Image Tampering Recognition Algorithm Based on Improved YOLOv5s,\" in IEEE Access, vol. 11, pp. 95114-95119, 2023, doi: 10.1109/ACCESS.2023.3311474.\n- **Keywords**: Feature extraction, Image recognition, Neck, Prediction algorithms, Data augmentation, Object detection, Ethics, Biomedical image processing, Image tamper recognition, YOLOv5s, attention module, EIOU loss function\n\n## Installation\n\nTo use this implementation, you need to follow these steps:\n\n1. Clone the YOLOv5 model repository:\n2. Install the required packages:\n3. Install Roboflow:\n4. Install ClearML for visualization:\n\n## Dataset\n\nThe dataset used for this implementation is obtained from Roboflow Universe. You can find the dataset [here](https://universe.roboflow.com/pavan-kumar/forge-eq4rh).\n\n- Total Images: 7257\n  - Train: 5075\n  - Valid: 1459\n  - Test: 723\n\n## Customization\n\nTo adapt the YOLOv5 architecture for image tampering recognition, the number of classes has been modified from 80 to 2 based on the dataset.\n\n## Usage\n\n1. **Training**: Use the provided dataset to train the YOLOv5 model. You can train the model using the following command:\n\n2. **Evaluation**: After training, evaluate the model's performance using the validation dataset:\n\n3. **Testing**: Finally, test the trained model using the test dataset:\n\nFeel free to explore and modify the code to suit your specific requirements.\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%2Ftedoaba%2Fyolov5-image-tampering-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftedoaba%2Fyolov5-image-tampering-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftedoaba%2Fyolov5-image-tampering-detection/lists"}