{"id":23447674,"url":"https://github.com/bpavan16/yolo-work","last_synced_at":"2026-06-22T18:31:59.440Z","repository":{"id":262521771,"uuid":"887507277","full_name":"bPavan16/yolo-work","owner":"bPavan16","description":"This repository hosts multiple projects leveraging state-of-the-art YOLO models including dental anatomy detection, people counting, and lane change detection.","archived":false,"fork":false,"pushed_at":"2024-12-20T18:29:50.000Z","size":42281,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-15T16:49:33.614Z","etag":null,"topics":["object-classification","object-counting","object-detection","yolo"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/bPavan16.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":"2024-11-12T21:08:11.000Z","updated_at":"2024-12-20T18:31:45.000Z","dependencies_parsed_at":"2024-11-12T22:21:55.894Z","dependency_job_id":"09becabb-3fa8-4a10-b662-29bb379e69e2","html_url":"https://github.com/bPavan16/yolo-work","commit_stats":null,"previous_names":["bpavan16/yolo_","bpavan16/yolo-work"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bPavan16%2Fyolo-work","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bPavan16%2Fyolo-work/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bPavan16%2Fyolo-work/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/bPavan16%2Fyolo-work/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/bPavan16","download_url":"https://codeload.github.com/bPavan16/yolo-work/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248139018,"owners_count":21054010,"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":["object-classification","object-counting","object-detection","yolo"],"created_at":"2024-12-23T21:19:22.279Z","updated_at":"2026-06-22T18:31:59.433Z","avatar_url":"https://github.com/bPavan16.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Unified Object Detection Projects\n\nThis repository hosts multiple projects leveraging state-of-the-art YOLO (You Only Look Once) models for real-time object detection across various domains. Each project highlights specific use cases, including dental anatomy detection, people counting, and lane change detection.\n\n## Projects Overview\n\n### 1. Dental Anatomy Detection System\nThis project uses YOLOv11 to detect and classify different types of teeth in dental images, labeling them with their anatomical names.\n\n#### Features\n- Detects and classifies molars, premolars, canines, and incisors.\n- Provides high-accuracy detection and labeling.\n\n#### Prerequisites\n- Python 3.x\n- OpenCV\n- NumPy\n- Pillow\n- YOLOv11 pre-trained weights\n\n#### Usage\n1. Prepare dental images.\n2. Download YOLOv11 weights and configuration.\n3. Run the detection script to output labeled images.\n\n---\n\n### 2. People Counter\nThis project counts the number of people in a given video feed or image using YOLO.\n\n#### Features\n- Real-time people counting.\n- High accuracy with YOLO.\n\n#### Requirements\n- Python 3.x\n- OpenCV\n- NumPy\n- YOLO weights and configuration files.\n\n#### Usage\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/yourusername/People-Counter.git\n   ```\n2. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n3. Download YOLO weights and run the script:\n   ```bash\n   python people_counter.py --input path_to_video_or_image --output path_to_output\n   ```\n\n---\n\n### 3. Lane Change Detection\nThis project uses YOLOv8 to detect lane changes in real-time from video feeds.\n\n#### Features\n- Enhanced lane change detection accuracy using YOLOv8.\n- Real-time object detection.\n\n#### Requirements\n- Python 3.x\n- OpenCV\n- NumPy\n- YOLOv8 pre-trained weights\n- Ultralytics library\n\n#### Usage\n1. Install YOLOv8:\n   ```bash\n   pip install ultralytics\n   ```\n2. Load YOLOv8 and process the video:\n   ```python\n   from ultralytics import YOLO\n\n   model = YOLO('yolov8.pt')\n   results = model.detect('video.mp4')\n   ```\n3. Run the Jupyter notebook to detect and display lane changes.\n\n---\n\n## Installation\n\nFor all projects:\n1. Clone the repository.\n2. Install the required Python libraries:\n   ```bash\n   pip install -r requirements.txt\n   ```\n3. Download the appropriate YOLO weights and configuration files.\n\n## License\nThis repository is open-source and available under the MIT License.\n\n## Acknowledgments\n- OpenCV for image processing.\n- YOLOv8 and YOLOv11 for state-of-the-art object detection.\n- NumPy for numerical operations.\n- Pillow for image annotation.\n- Ultralytics for YOLOv8 support.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbpavan16%2Fyolo-work","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbpavan16%2Fyolo-work","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbpavan16%2Fyolo-work/lists"}