Amazon Rekognition scikit-image

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Amazon Rekognition:

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.
scikit-image:

About

scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.
Amazon Rekognition:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
scikit-image:

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Amazon Rekognition:

Audience

Organizations that want to automate their image and video analysis with machine learning.
scikit-image:

Audience

Developers and professionals requiring a free solution offering algorithms for their image processing projects
Amazon Rekognition:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
scikit-image:

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported
Amazon Rekognition:

API

Offers API Supported
scikit-image:

API

Offers API Supported
Amazon Rekognition:

Screenshots and Videos

scikit-image:

Screenshots and Videos

Amazon Rekognition:

Pricing

No information available.
Free Version Supported
Free Trial Not Supported
scikit-image:

Pricing

Free
Free Version Supported
Free Trial Not Supported
Amazon Rekognition:

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
scikit-image:

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
Amazon Rekognition:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
scikit-image:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Amazon Rekognition:

Company Information

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

Company Information

scikit-image
United States
scikit-image.org
Amazon Rekognition:

Alternatives

scikit-image:

Alternatives

Amazon Rekognition:
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Amazon Rekognition:
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Amazon Rekognition:
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Amazon Rekognition:
scikit-image:
Amazon Rekognition:

Categories

scikit-image:

Categories

Amazon Rekognition:

Computer Vision Features

Blob Detection & Analysis Supported
Building Tools Supported
Image Processing Supported
Multiple Image Type Support Supported
Reporting / Analytics Integration Supported
Smart Camera Integration Supported
Amazon Rekognition:

Integrations

AWS AI Services Supported
AWS App Mesh Supported
Akira AI Not Supported
Amazon Web Services (AWS) Supported
BotCore Supported
Cython Not Supported
Descope Supported
Label Studio Not Supported
MLReef Not Supported
Orange Logic Supported
PostgresML Not Supported
Qrvey Supported
Quickwork Supported
SightRadar Supported
Trendzact Supported
Visionati Supported
Yamak.ai Not Supported
Yandex Data Proc Not Supported
ZenML Not Supported
n8n Supported
scikit-image:

Integrations

AWS AI Services Not Supported
AWS App Mesh Not Supported
Akira AI Supported
Amazon Web Services (AWS) Not Supported
BotCore Not Supported
Cython Supported
Descope Not Supported
Label Studio Supported
MLReef Supported
Orange Logic Not Supported
PostgresML Supported
Qrvey Not Supported
Quickwork Not Supported
SightRadar Not Supported
Trendzact Not Supported
Visionati Not Supported
Yamak.ai Supported
Yandex Data Proc Supported
ZenML Supported
n8n Not Supported
Amazon Rekognition:
Claim Amazon Rekognition and update features and information
Claim Amazon Rekognition and update features and information
scikit-image:
Claim scikit-image and update features and information
Claim scikit-image and update features and information