This repository contains code for an object detection system implemented using Python and Google Colab. The system is designed to detect and locate objects within images using deep learning techniques. It leverages popular libraries and frameworks such as TensorFlow and OpenCV for efficient object detection.
The object detection system in this repository is based on a pre-trained deep learning model, which is capable of accurately identifying and localizing objects in images. It utilizes the power of Google Colab's cloud-based computing resources to enable seamless execution and experimentation without the need for local hardware with high computational capabilities.
To use this object detection system, follow these steps:
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Clone this repository to your local machine using the following command:
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Access the Google Colab notebook provided in the repository.
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Upload your dataset or use the provided sample images to test the object detection system.
In the Google Colab notebook, follow the instructions provided in the code cells to:
- Load the dataset and necessary libraries.
- Initialize the pre-trained object detection model.
- Perform object detection on the provided images or your custom dataset.
- Visualize the results and evaluate the performance of the object detection system.
Contributions to this project are welcome. To contribute, follow these steps:
- Fork the repository.
- Create a new branch.
- Make your changes and commit them.
- Push the changes to your fork.
- Submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.