L1_03_Object_Detection_with_YOLOv_

L1 - 03: Object Detection using YOLOv*

(Src: The AI Technology)

Overview

Real-time 2D/3D object detection projects using YOLO (You Only Look Once), a deep learning model that can detect and classify objects in images and videos.

• *: v3, v5, v8 to the lastest version

Requirements:

- Python
- PyTorch
- YOLOv3, YOLOv5, YOLOv8: repository (we will clone this from GitHub)
- OpenCV for video processing
- Google Colab for running the code

Implementation Steps:

1. Setup Environment
2. Clone YOLOv5 Repository
3. Install Dependencies
4. Load Pre-trained YOLOv5 Model
5. Perform Object Detection on Images
6. Perform Object Detection on Videos
7. Step-by-Step Implementation:

Contributing

If you want to contribute to this project, you are welcome to do so. You can either add new projects, improve existing ones, or fix bugs and errors.

Please follow these steps to contribute:

• Fork this repository and clone it to your local machine.
• Create a new branch with a descriptive name for your contribution.
• Add your code and files to the branch and commit your changes.
• Push your branch to your forked repository and create a pull request to the main repository.
• Wait for your pull request to be reviewed and merged.

References

• YOLOv3 - Ultralytics
• YOLOv5 - Ultralytics (Optional)
• YOLOv8 - Ultralytics (Optional)