{"id":26134353,"url":"https://github.com/vs-uulm/yolo-for-autonomous-driving","last_synced_at":"2026-05-06T09:34:28.061Z","repository":{"id":280657184,"uuid":"942683924","full_name":"vs-uulm/yolo-for-autonomous-driving","owner":"vs-uulm","description":"Easy Training of YOLO Models with Car Datasets for Autonomous Driving","archived":false,"fork":false,"pushed_at":"2025-03-04T15:32:27.000Z","size":240,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":12,"default_branch":"main","last_synced_at":"2025-03-04T16:36:30.514Z","etag":null,"topics":["autonomous-car","autonomous-driving","computer-vision","machine-learning","object-detection","python","pytorch","yolov11","yolov12"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"agpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/vs-uulm.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":"2025-03-04T14:00:41.000Z","updated_at":"2025-03-04T15:32:31.000Z","dependencies_parsed_at":"2025-03-04T16:47:26.952Z","dependency_job_id":null,"html_url":"https://github.com/vs-uulm/yolo-for-autonomous-driving","commit_stats":null,"previous_names":["vs-uulm/yolo-for-autonomous-driving"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vs-uulm%2Fyolo-for-autonomous-driving","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vs-uulm%2Fyolo-for-autonomous-driving/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vs-uulm%2Fyolo-for-autonomous-driving/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vs-uulm%2Fyolo-for-autonomous-driving/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vs-uulm","download_url":"https://codeload.github.com/vs-uulm/yolo-for-autonomous-driving/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242945837,"owners_count":20210762,"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":["autonomous-car","autonomous-driving","computer-vision","machine-learning","object-detection","python","pytorch","yolov11","yolov12"],"created_at":"2025-03-11T00:00:10.380Z","updated_at":"2026-05-06T09:34:28.010Z","avatar_url":"https://github.com/vs-uulm.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# YOLO Models for Autonomous Driving\n\nThis project is a comprehensive toolkit for researchers and developers working on autonomous driving datasets. It automates the conversion of different file formats into the YOLO format and facilitates training of various YOLO model versions.\n\n## Features\n\n- **Multi-format Converter:**  \n  Convert common autonomous driving dataset annotations (e.g., Pascal VOC, COCO, [KITTI](https://www.cvlibs.net/datasets/kitti/eval_tracking.php), [BDD100K](https://arxiv.org/abs/1805.04687) into the YOLO format.\n  \n- **YOLO Trainer:**  \n  Seamlessly train different versions of YOLO (v10, [v11](https://github.com/ultralytics/ultralytics), ·[v12](https://arxiv.org/abs/2502.12524), etc.) using pre-configured training pipelines.\n\n- **Modular and Extensible:**  \n  Designed with modularity in mind, allowing you to add new conversion modules or support additional YOLO versions as needed.\n\n## Getting Started\n\n### Prerequisites\n\n- Python 3.10\n- Git\n- [uv](https://github.com/astral-sh/uv)\n\n### Installation\n\n```bash\ngit clone git@github.com:vs-uulm/yolo-for-autonomous-driving.git\ncd yolo-for-autonomous-driving\nuv sync\n```\n\n## Usage Example\n\n### Download and Convert KITTI Dataset to YOLO Format\n\n```bash\nuv run convert_dataset_to_yolo_format.py ./config/converter/kitti.yaml\n\n```\n\n### Train YOLOv11s with KITTI from Scratch and Pretrained from COCO\n\n```bash\nuv run train_yolos.py ./config/trainer/yolov11_kitti.yaml\n```\n\n### Check The Model Quality\n\n```bash\ncd runs\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvs-uulm%2Fyolo-for-autonomous-driving","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvs-uulm%2Fyolo-for-autonomous-driving","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvs-uulm%2Fyolo-for-autonomous-driving/lists"}