Metadata-Version: 2.4
Name: aws_rekognition_tool
Version: 0.5.0
Summary: Easy-to-use Python wrapper for AWS Rekognition - Image label detection, face detection, and text detection
Author-email: Bala_Bm_06_01 <devteam477@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/yourusername/aws-rekognition-tool
Project-URL: Documentation, https://github.com/yourusername/aws-rekognition-tool#readme
Project-URL: Repository, https://github.com/yourusername/aws-rekognition-tool.git
Project-URL: Bug Tracker, https://github.com/yourusername/aws-rekognition-tool/issues
Keywords: aws,rekognition,image-recognition,machine-learning,computer-vision,face-detection,label-detection,s3,boto3
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Image Recognition
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: boto3>=1.26.0
Requires-Dist: botocore>=1.29.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0.0; extra == "dev"
Requires-Dist: black>=23.0.0; extra == "dev"
Requires-Dist: flake8>=6.0.0; extra == "dev"
Requires-Dist: moto>=4.0.0; extra == "dev"
Dynamic: license-file

# AWS Rekognition Tool 🔍

Easy-to-use Python package for AWS Rekognition - Detect labels, faces, and text in images!

## Installation

```bash
pip install aws-rekognition-tool



from aws_rekognition_tool import detect_labels
LOCAL_IMAGE_PATH = "/home/devel-balamurugan/adv3.png" 
 
 
result = detect_labels(LOCAL_IMAGE_PATH)
print(f"==>> result: {result}")
