Amazon RekognitionAmazon
|
||||||
Related Products
|
||||||
About
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
|
About
Our image and video recognition APIs are proven, highly scalable, and leverage deep learning technology that you can implement within your own applications without prior knowledge of machine learning expertise. EyeRecognize’s suite of image and video recognition API services allow you to identify objects, people, text, scenes, and activities in images and videos, as well as detect any faces and NSFW content. Face Detection and Analysis, detect all face in images and video and get attributes such as face location, gender, age, eyes, and even emotion. Text Detection, extract text from images such as license plates, street signs, advertising, and brand names. Identify NSFW "Not Safe for Work" and other potentially inappropriate content across both image and video. The team behind EyeRecognize has been collectively developing artificial intelligence powered applications for over 40 years and first pioneered the use of machine learning to automate content moderation for social media.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Organizations that want to automate their image and video analysis with machine learning.
|
Audience
Brands and companies in search of an image and video recognition solution to moderate their users' social media content
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/rekognition/
|
Company InformationEyeRecognize
Founded: 2019
eyerecognize.ai/
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Computer Vision Features
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
|
||||||
Integrations
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic OrangeDAM
Qrvey
Quickwork
Trendzact
|
Integrations
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic OrangeDAM
Qrvey
Quickwork
Trendzact
|
|||||
|
|
|