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What is Imagga?

Imagine the future of image recognition software powered by Imagga's API, which elevates intelligent applications through flexible machine learning solutions. Our advanced technology enables automatic tagging of images, creating a strong API for in-depth image analysis and exploration. This feature greatly enhances product visibility within your applications, paving the way for sophisticated visual search capabilities. Furthermore, you can incorporate facial recognition functionalities in your applications using our robust API designed specifically for face detection. Tailor our image AI to categorize and arrange your photos into customized groups, enabling effortless automatic organization of your visual content. Enjoy swift image classification with our highly efficient API, alongside automated moderation of adult content, which utilizes state-of-the-art image recognition technology. Effortlessly improve your visual assets by producing eye-catching thumbnails and employing our API for smart cropping that is sensitive to content. Lastly, breathe life into your product images through color extraction, thanks to our versatile API, ensuring your offerings are presented in a lively and engaging manner. This extensive collection of tools empowers developers to completely reshape the way users engage with images within their applications, ultimately enhancing user experience and satisfaction. As a result, businesses can leverage these innovations to stay ahead in an increasingly visual world.

What is Azure Machine Learning?

Optimize the complete machine learning process from inception to execution. Empower developers and data scientists with a variety of efficient tools to quickly build, train, and deploy machine learning models. Accelerate time-to-market and improve team collaboration through superior MLOps that function similarly to DevOps but focus specifically on machine learning. Encourage innovation on a secure platform that emphasizes responsible machine learning principles. Address the needs of all experience levels by providing both code-centric methods and intuitive drag-and-drop interfaces, in addition to automated machine learning solutions. Utilize robust MLOps features that integrate smoothly with existing DevOps practices, ensuring a comprehensive management of the entire ML lifecycle. Promote responsible practices by guaranteeing model interpretability and fairness, protecting data with differential privacy and confidential computing, while also maintaining a structured oversight of the ML lifecycle through audit trails and datasheets. Moreover, extend exceptional support for a wide range of open-source frameworks and programming languages, such as MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R, facilitating the adoption of best practices in machine learning initiatives. By harnessing these capabilities, organizations can significantly boost their operational efficiency and foster innovation more effectively. This not only enhances productivity but also ensures that teams can navigate the complexities of machine learning with confidence.

Media

Media

Integrations Supported

Azure AI Search
Azure Container Registry
Azure Data Science Virtual Machines
Azure Database for MariaDB
Azure Kinect DK
Azure Marketplace
BotCore
Cranium
Evvox
FotoWare
MLflow
Microsoft Azure
Microsoft Intelligent Data Platform
ModelOp
NVIDIA Triton Inference Server
New Relic
Omnisient
Quickwork
Slingshot
Visual Studio Code

Integrations Supported

Azure AI Search
Azure Container Registry
Azure Data Science Virtual Machines
Azure Database for MariaDB
Azure Kinect DK
Azure Marketplace
BotCore
Cranium
Evvox
FotoWare
MLflow
Microsoft Azure
Microsoft Intelligent Data Platform
ModelOp
NVIDIA Triton Inference Server
New Relic
Omnisient
Quickwork
Slingshot
Visual Studio Code

API Availability

Has API

API Availability

Has API

Pricing Information

$79 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Imagga

Date Founded

2009

Company Location

Bulgaria

Company Website

imagga.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/machine-learning/

Categories and Features

Content Moderation

Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation

Digital Asset Management

Asset Categorization
Asset Library
Asset Sharing
Brand Control
Customizable Branding
File Conversion
Metadata Management
Mobile App
Reporting/Analytics
Search Within Document
Search/Filter
Version Control
Watermarking
Workflow Management

Visual Search

Barcode Recognition
Catalog Management
Customer Activity Tracking
Filtering
IP Protection
Image Tagging
Mobile App
Optical Character Recognition
Product Recommendations
Product Search
Reverse Image Search
Video Search

Categories and Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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