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90% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more

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Overview

Description Amazon Rekognition is a cloud-based image recognition platform, offering computer vision technology that provides software as a service. It allows you to easily integrate picture and video analysis into your apps using proven, highly scalable deep learning technology that doesn't require any machine learning experience. With Amazon Rekognition, users can easily recognize objects, people, text, settings, and actions, as well as to detect any improper information in photos and videos. You can also use a model to categorize specific machine parts on your manufacturing line or to detect sick plants. All you have to do is provide photos of the items or situations you wish to identify, and the platform will take care of the rest. It additionally assists the user in distinguishing possibly risky or unseemly content across both picture and video resources and permits you to precisely control what you need to permit depending on your necessities. The software offers a free trial that allows you to analyze 5,000 pictures each month and save 1,000 pieces of face metadata per month. Read more Amazon SageMaker is a fully integrated service that allows data scientists and developers to easily and quickly train, deploy, and build machine learning models at any range by bringing all bot set capabilities together. It allows users to upload data quickly, tune and train models, compare results and deploy production models all in one place. This software offers a single web-based visual interface to perform all machine learning development steps and enhance data science and team productivity. Moreover, Amazon SageMaker comprises the autopilot features that eliminate the heavy lifting of building a machine learning model and helps users automatically train, build, and tune the ideal machine learning model based on their data. Amazon SageMaker autopilot will automatically search different solutions to discover the best model. Users then can directly deploy the model to production in one click to enhance the model quality. Amazon SageMaker offers other extensive features that assists users in simplifying the data preparation process and helping complete the data preparation workflow. Amazon SageMaker offers a premium and follows a subscription-based pricing strategy. Read more
Pricing Options
  • Free Trial Not Available
  • Starts at $0.1. Offers Free-forever plan.
  • Free Trial Not Available
SW Score & Breakdown

90% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more

  • Features The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more
    88%
  • Reviews
    93%
  • Momentum
    62%
  • Popularity
    71%

Technical Details

Organization Types Supported
  • Large Enterprises
  • Medium Business
  • Small Business
  • Large Enterprises
  • Medium Business
  • Small Business
Platforms Supported
  • SaaS/Web/Cloud
  • SaaS/Web/Cloud
Modes of Support
  • Online
  • Online
API Support
  • Available
  • Available

Reviews & Ratings

User Rating
4.5/5 24 user ratings
4.4/5 42 user ratings
Ratings Distribution
  • Excellent

    58.3%
  • Very Good

    37.5%
  • Average

    0%
  • Poor

    4.2%
  • Terrible

    0%
  • Excellent

    52.4%
  • Very Good

    35.7%
  • Average

    9.5%
  • Poor

    0%
  • Terrible

    2.4%
Pros & Cons
  • Effortless integration of image and video analysis into applications
  • Highly scalable deep learning technology without machine learning expertise requirement
  • Free trial for analyzing 5,000 images and saving 1,000 face metadata monthly
  • May require additional resources for complex image and video analysis tasks
  • Comprehensive service for training, deploying, and building machine learning models
  • Single web-based visual interface for all machine learning development steps
  • AutoML features for automated model building and tuning
  • Subscription-based pricing model may not be suitable for all users
  • Limited customization options compared to other machine learning platforms
  Read All User Reviews Read All User Reviews

AI-Generated from the text of User Reviews

Pricing

Pricing Options
  • Free Trial Not Available
  • Starts at $0.1. Offers Free-forever plan.
  • Free Trial Not Available
Pricing Plans
Monthly Plans Annual Plans

Free Tier Free

Amazon Rekognition Video Pricing $0.10 $0.10

Amazon SageMaker Others

 
View Detailed Pricing
View Detailed Pricing

Screenshots & Videos

Screenshots Detect analyze faces
+ 2 More
Overview of Amazon Sagemaker Video
+ 1 More
Videos Video Thumbnail
+ 1 More
Video Thumbnail

Vendor information

Company Details

Not available

Not available

Contact Details

Not available

https://aws.amazon.com/rekognition/

Not available

https://aws.amazon.com/sagemaker/

Social Media Handles

Not available

FAQs

What are the key differences between Amazon Rekognition and Amazon SageMaker?

Amazon Rekognition focuses on image and video analysis, while Amazon SageMaker is a comprehensive platform for building and deploying machine learning models.

What are the alternatives to Amazon Rekognition?

The top alternatives to Amazon Rekognition are Azure Face API, Microsoft Computer Vision API, Azure Custom Vision Service, SentiSight.ai, and Recognize.im.

What are the alternatives to Amazon SageMaker?

The top alternatives to Amazon SageMaker are Databricks, Azure Machine Learning Studio, Google Cloud AutoML, Bedrock, and Pretrained.ai.

Which product is better for large-scale image and video analysis?

Amazon Rekognition is designed for large-scale image and video analysis, with features like object detection, facial recognition, and text recognition.

Which product is better for building and deploying machine learning models?

Amazon SageMaker is designed for building and deploying machine learning models, with features like data preparation, model training, and model deployment.

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