AWS Image Label Generator is a Python-based tool that uses AWS Rekognition to analyze images stored in S3 and generate labels with confidence scores. It automates image classification and object detection using AWS services.

Amazon Rekognition's Image Labels Generator automatically detects objects, scenes, and activities in images. It uses machine learning to assign descriptive labels to images, making it easy to categorize and search visual content. By integrating it with AWS Lambda or other services, you can automate image processing tasks for large-scale application

This project uses **Amazon S3**, **Lambda**, and **Rekognition** to detect labels in uploaded images. It’s a simple, serverless application that takes an image filename from S3 and returns objects detected in the image with confidence scores. 🔗 Tech Stack: `AWS Lambda`, `S3`, `Amazon Rekognition`, `Python`

This project demonstrates how to use Flask and Amazon Rekognition to build an image labels generator. Users can upload images, which are stored in Amazon S3, and analyzed to generate descriptive labels with confidence scores. A showcase of AWS and Python integration for image analysis.

The repository has the python script to make a Image Label Generator with AWS Rekognition

Serverless Image Label Generator using AWS Rekognition, Lambda and API Gateway. Upload an image and get AI-generated labels with confidence scores.