OBJECT DETECTION USING AWS REKOGNITION

This is a simple Python application for object detection using AWS Rekognition.

Features

• Detects objects in images using AWS Rekognition service.
• Dockerized for easy deployment and usage.

Prerequisites

• Python 3.6 or higher installed on your system.
• Docker installed (if running with Docker).
• An IAM user with access to AWS Rekognition. Ensure the user has appropriate permissions to use the Rekognition service.

Setup

1. Clone this repository to your local machine:

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

2. Install dependencies:

      pip install -r requirements.txt

Usage

1. Run Locally

Using credentials.csv file:

1. Ensure your AWS credentials are stored in the credentials.csv file in the root directory of the project, with the format:

access_key_id,secret_access_key
111111111111,7838383983892387uhw

2. Run the application:

python3 main.py

2. Running with Docker

1. Build the Docker image:

docker build -t object-detection .

2. Run the Docker container:

docker run -it --rm object-detection

3. Adding New Images

Add your new images to the images/ directory.

Run the application and select the newly added image for object detection.

Contributing

Contributions are welcome! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.