ALI3Nass/Object-Detection-Using-FasterRCNN-InceptionResNet-V2

This repository contains code for performing object detection using TensorFlow and a pre-trained model(FasterRCNN+InceptionResNet V2).

Object-Detection-Using-FasterRCNN-InceptionResNet-V2

This repository contains code for performing object detection using TensorFlow and a pre-trained model(FasterRCNN+InceptionResNet V2).

Overview

Object detection is a computer vision task that involves identifying and locating objects within an image. This code uses TensorFlow and a pre-trained model from TensorFlow Hub to perform object detection.

Requirements

• TensorFlow
• TensorFlow Hub
• Matplotlib
• PIL (Python Imaging Library)

Getting Started

1. Clone the repository:

   git clone https://github.com/ALI3Nass/Object-Detection-Using-FasterRCNN-InceptionResNet-V2.git
   

2. Install the required dependencies:

   pip install tensorflow tensorflow-hub matplotlib pillow
   

Usage

• Modify the script to specify your image URLs or other configurations as needed.
• Run the script to perform object detection on the specified images.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

This project uses a pre-trained model from TensorFlow Hub. The sample images used in the examples are attributed to their respective sources (see image URLs in the code).