Amazon RekognitionAmazon
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imagorcshum
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Related Products
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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.
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About
Imagor is a fast, secure image processing server and Go library, utilizing one of the most efficient image processing libraries, libvips. It supports a wide range of image operations, including resizing, cropping, rotating, flipping, and applying filters. Imagor is designed to be stateless and can be easily deployed using Docker. It supports various storage backends such as HTTP, AWS S3, Google Cloud Storage, and the local filesystem. The server is highly configurable, allowing users to define loaders, storages, and processors to suit their specific needs. Imagor also provides support for URL-safe image operations, enabling on-the-fly image transformations through URL parameters. Security features include HMAC-based URL signing to prevent unauthorized access. It is extensible, with support for custom filters and processors. For video thumbnail generation, Imagor integrates with ffmpeg through the imagorvideo extension, allowing the extraction of video frames.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Organizations that want to automate their image and video analysis with machine learning.
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Audience
Backend developers and engineers looking for a solution to process their images
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/rekognition/
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Company Informationcshum
China
github.com/cshum/imagor
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Categories |
Categories |
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Computer Vision Features
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
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Integrations
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon S3
Amazon Web Services (AWS)
BotCore
Descope
Docker
Go
Google Cloud Storage
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Integrations
AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon S3
Amazon Web Services (AWS)
BotCore
Descope
Docker
Go
Google Cloud Storage
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