Trash Detection for River Cleaning

Overview

Welcome to the Trash Detection project, which has the potential to become a vital component of the larger AquaShark initiative aimed at cleaning rivers. This project focuses on the development of a robust Object Detection model specifically designed to identify and locate floating trash in Indian rivers. The model can be seamlessly integrated into river cleaning bots, such as AquaShark, to enhance their efficiency in waste removal.

Objectives

The primary objectives of this project are as follows:

Trash Detection: Develop an accurate and reliable object detection model capable of identifying various types of trash commonly found floating in rivers.
Integration: Enable easy integration of the Trash Detection model into river cleaning bots, contributing to the overall effectiveness of AquaShark and similar projects.
Dataset: Utilize a curated and labeled dataset to train the model, ensuring a diverse range of trash objects for robust detection capabilities.

Dataset

The dataset used for training the Trash Detection model was meticulously curated and labeled by the project creator. Roboflow was employed to streamline the dataset preparation process, ensuring high-quality annotations for optimal model performance.

Model Training

The Object Detection model was trained using state-of-the-art techniques to achieve accurate and efficient trash detection. The training process involved optimizing the model for real-world scenarios commonly encountered in river environments.

Usage

Integrating the Trash Detection model into your project is straightforward. Follow these steps:

Clone the Repository:

git clone https://github.com/AravJain007/Trash-Detection.git
cd Trash-Detection

Install Dependencies:
```
pip install -r requirements.txt
```
Run Inference:
```
python detect_trash.py --input_image your_image.jpg
```
Replace your_image.jpg with the path to the image you want to analyze for trash.

Contributing

Contributions to this project are welcome! If you have suggestions for improvement, bug reports, or feature requests, please open an issue.

License

This project is licensed under the MIT License.

Acknowledgments

Special thanks to Roboflow for providing a user-friendly platform for dataset preparation, and to the open-source community for invaluable contributions to the field of computer vision.

Feel free to reach out with any questions or feedback. Together, let's make our rivers cleaner!