This project, titled "Building an Insect Detection Model Based on Images" (Project Code: THS2023-54), aims to develop a model for detecting objects in images using the YOLOv8 model for classification.

To run this project, you will need to have a development environment that supports Flutter and TFLite. You will also need access to Google Colab for training the model.

The installation process involves setting up your development environment, cloning the GitHub repository, and installing the necessary libraries and dependencies.

The usage of this project involves several steps:

1. Researching the process of building an object detection model in images.
2. Collecting images and building a database for the insect recognition system.
3. Building an object detection model in images and training the model on Google Colab.
4. Building the application interface.

Contributions are welcome. Please feel free to fork the project and submit your pull requests.

This project is licensed under the MIT License.

Nguyen Thanh Phat - [email protected]