Object Detection using Deep Learning

This project involves detecting and classifying objects in images or videos using deep learning models. The system can identify various objects, draw bounding boxes around them, and classify them into predefined categories.

Features

• Detect and classify multiple objects within images or video feeds.
• Draw bounding boxes around detected objects with labels.
• Supports real-time object detection from live video streams.
• High accuracy with state-of-the-art object detection models such as YOLO or SSD.

Installation

To set up this object detection project on your local machine, follow the steps below:

1. Clone the Repository

   git clone https://github.com/username/object-detection.git
   cd object-detection

2. Set Up Virtual Environment (Optional but Recommended)

   python3 -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install Required Packages

   pip install -r requirements.txt

Usage

To start the object detection system, use the following command:

python object_detection.py --input  --output