Object Detection with SSD MobileNet

This project demonstrates how to perform object detection using TensorFlow's SSD MobileNet model. The model is trained on the COCO dataset and can detect multiple object classes in images.

Table of Contents

• Prerequisites
• Installation
• Usage
• Acknowledgments

Prerequisites

Before you begin, ensure you have the following installed:

• Python 3.6+
• TensorFlow 2.x
• Jupyter Notebook or any Python IDE
• Other required libraries (listed in the installation section)

Installation

1. Clone this repository:

   git clone https://github.com/sakshigithubit/object_detection.git
   cd object_detection
   

Usage

• Place your test images in the object_detection/test_images directory.
• Run the Jupyter Notebook or Python script provided in this repository to perform object detection on the images
• The results will be displayed inline, showing the detected objects with bounding boxes.

Acknowledgments

• TensorFlow Team
• The authors of the SSD MobileNet model
• The COCO dataset creators