{"id":20316077,"url":"https://github.com/pushtogithub23/yolo-hand-gestures-detection","last_synced_at":"2026-06-05T12:31:37.044Z","repository":{"id":260271099,"uuid":"880816785","full_name":"Pushtogithub23/yolo-hand-gestures-detection","owner":"Pushtogithub23","description":"This project uses Python, OpenCV, and YOLOv8 for Hand Gesture Detection, enabling real-time data recording, annotation, and model development to recognize specific hand gestures.","archived":false,"fork":false,"pushed_at":"2024-10-30T12:56:49.000Z","size":5786,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-14T12:53:38.620Z","etag":null,"topics":["computer-vision","hand-gesture-recognition","object-detection","opencv-python","roboflow","yolov8"],"latest_commit_sha":null,"homepage":"https://universe.roboflow.com/puspendu-ai-vision-workspace/hand_gesture_detection-xdcpy","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/Pushtogithub23.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}},"created_at":"2024-10-30T12:18:10.000Z","updated_at":"2024-10-31T17:59:59.000Z","dependencies_parsed_at":"2024-10-30T13:41:52.673Z","dependency_job_id":"325fea48-c9dc-484b-8de0-08731b8a42ae","html_url":"https://github.com/Pushtogithub23/yolo-hand-gestures-detection","commit_stats":null,"previous_names":["pushtogithub23/yolo-hand-gestures-detection"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pushtogithub23%2Fyolo-hand-gestures-detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pushtogithub23%2Fyolo-hand-gestures-detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pushtogithub23%2Fyolo-hand-gestures-detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Pushtogithub23%2Fyolo-hand-gestures-detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Pushtogithub23","download_url":"https://codeload.github.com/Pushtogithub23/yolo-hand-gestures-detection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241818902,"owners_count":20025210,"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":["computer-vision","hand-gesture-recognition","object-detection","opencv-python","roboflow","yolov8"],"created_at":"2024-11-14T18:24:11.624Z","updated_at":"2026-06-05T12:31:37.035Z","avatar_url":"https://github.com/Pushtogithub23.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Hand Gesture Detection using YOLOv8\n\nThis repository features a project for **Hand Gesture Detection** utilizing Python, OpenCV, and YOLOv8. The project allows for real-time data recording, annotation, and model development aimed at recognizing specific hand gestures.\n\n![detection_result_2](https://github.com/user-attachments/assets/0acb942d-edf2-4f0b-847f-b80f3c78330f)\n\n## Features\n\n- **Hand Gesture Detection**:\n  - Captures hand gesture images from a webcam feed.\n  - Images are saved in specified folders for each gesture.\n  - Key-activated controls to start and stop image saving.\n- **Dataset Preparation**:\n  - Provides a script to record hand gesture data.\n  - Supports annotation of the recorded data using Roboflow.\n- **Model Training and Deployment**:\n  - Includes a Jupyter Notebook for training, evaluating, and deploying the YOLOv8 hand gesture detection model.\n- **Separate Python Script real-time detection**:\n  - Includes a separate Python script that detects and displays hand gestures from a live camera feed.\n\n## Project Structure\n\n- `data_record.py`: Python script to record webcam feed data for hand gesture detection.\n- `model_training.ipynb`: Jupyter Notebook for training, testing, and deploying the hand gesture detection model.\n- `requirements.txt`: List of required Python packages.\n- `testing.py`: Python script for real-time hand gesture detection.\n\n## Setup and Requirements\n\n### Prerequisites\n\n- Python 3.x\n- OpenCV\n- YOLOv8\n- Roboflow (for data annotation)\n\n### Installation\n\n1. Clone the repository:\n\n   ```bash\n   git clone https://github.com/Pushtogithub23/yolo-hand-gestures-detection.git\n   cd yolo-hand-gestures-detection\n   ```\n\n2. Install required libraries:\n\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. Train your custom YOLOv8 model weights. Typically, the weights are saved in `runs/detect/train/weights/`.\n\n## Usage\n\n### Hand Gesture Data Recording\n\nThe `data_record.py` script captures images from a webcam feed to create a dataset of hand gestures.\n\n1. Run the script:\n\n   ```bash\n   python data_record.py\n   ```\n\n2. **Controls**:\n   - Press **'s'** to start saving images.\n   - Press **'p'** to stop and close the program.\n\n   This will save images in the `DATA/CallMe` directory or any folder specified in `capture_hand_images()`.\n\n### Data Annotation\n\nAfter recording the hand gesture data, images were annotated on [Roboflow](https://roboflow.com/). Annotation was essential for training the YOLOv8 model with labelled gesture data.\n\n### Hand Gesture Detection Notebook\n\nThe `model_training.ipynb` notebook provides:\n\n- Training and testing steps for the hand gesture detection model.\n- Code to evaluate model performance.\n- Guidance for deploying the trained model.\n\n## Project link\n - You can find the project on Roboflow by clicking [here](https://universe.roboflow.com/puspendu-ai-vision-workspace/hand_gesture_detection-xdcpy)\n - You can find the training logs on wandb by clicking on this [link](https://wandb.ai/ranapuspendu24-iit-madras-foundation/Ultralytics/runs/zayjstbb?nw=nwuserranapuspendu24)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpushtogithub23%2Fyolo-hand-gestures-detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpushtogithub23%2Fyolo-hand-gestures-detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpushtogithub23%2Fyolo-hand-gestures-detection/lists"}