imagor

imagor

cshum
+
+

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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.

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.

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

Backend developers and engineers looking for a solution to process their images

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

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/rekognition/

Company Information

cshum
China
github.com/cshum/imagor

Alternatives

Alternatives

imgix

imgix

Zebrafish Labs
Teamz Converter

Teamz Converter

Teamz360 LLC

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 S3
Amazon Web Services (AWS)
BotCore
Descope
Docker
Go
Google Cloud Storage
Orange Logic OrangeDAM
Qrvey
Quickwork
Trendzact
Unremot
Visionati
n8n

Integrations

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon S3
Amazon Web Services (AWS)
BotCore
Descope
Docker
Go
Google Cloud Storage
Orange Logic OrangeDAM
Qrvey
Quickwork
Trendzact
Unremot
Visionati
n8n
Claim Amazon Rekognition and update features and information
Claim Amazon Rekognition and update features and information
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