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What is Dragonfly 3D World?

Dragonfly 3D World, created by Object Research Systems (ORS), is an advanced software platform designed for the visualization, analysis, and collaborative exploration of multidimensional images applicable to numerous scientific and industrial sectors. This comprehensive platform features a wide range of powerful tools that support the visualization, processing, and interpretation of imaging data in 2D, 3D, and 4D formats, sourced from modalities such as CT, MRI, and electron microscopy, among others. Users can delve into complex structures through interactive approaches, including real-time volume rendering, surface rendering, and orthogonal slicing. The incorporation of artificial intelligence in Dragonfly allows users to apply deep learning methodologies for image segmentation, classification, and object detection, greatly improving the accuracy of their analyses. Furthermore, the software boasts advanced quantitative analysis capabilities that enable researchers to perform region-of-interest studies, conduct measurements, and execute statistical evaluations. The intuitive graphical interface of Dragonfly aids researchers in building reproducible workflows and streamlining batch processing, thereby enhancing both consistency and productivity in their tasks. With its extensive functionalities and user-friendly design, Dragonfly 3D World is an indispensable tool for professionals eager to expand the frontiers of imaging analysis in their fields. This innovative platform not only facilitates research but also fosters collaboration among scientists and industry experts, making it a cornerstone for future advancements.

What is Domino Enterprise MLOps Platform?

The Domino Enterprise MLOps Platform enhances the efficiency, quality, and influence of data science on a large scale, providing data science teams with the tools they need for success. With its open and adaptable framework, Domino allows experienced data scientists to utilize their favorite tools and infrastructures seamlessly. Models developed within the platform transition to production swiftly and maintain optimal performance through cohesive workflows that integrate various processes. Additionally, Domino prioritizes essential security, governance, and compliance features that are critical for enterprise standards. The Self-Service Infrastructure Portal further boosts the productivity of data science teams by granting them straightforward access to preferred tools, scalable computing resources, and a variety of data sets. By streamlining labor-intensive DevOps responsibilities, data scientists can dedicate more time to their core analytical tasks, enhancing overall efficiency. The Integrated Model Factory offers a comprehensive workbench alongside model and application deployment capabilities, as well as integrated monitoring, enabling teams to swiftly experiment and deploy top-performing models while ensuring high performance and fostering collaboration throughout the entire data science process. Finally, the System of Record is equipped with a robust reproducibility engine, search and knowledge management tools, and integrated project management features that allow teams to easily locate, reuse, reproduce, and build upon existing data science projects, thereby accelerating innovation and fostering a culture of continuous improvement. As a result, this comprehensive ecosystem not only streamlines workflows but also enhances collaboration among team members.

Media

Media

Integrations Supported

Amazon SageMaker
Anaconda
Bitbucket
Dask
Flask
GitHub
H2O.ai
Jira
JupyterLab
Keras
MATLAB
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA NGC
Okera
PyCharm
R
SPARK
Snowflake
TensorFlow

Integrations Supported

Amazon SageMaker
Anaconda
Bitbucket
Dask
Flask
GitHub
H2O.ai
Jira
JupyterLab
Keras
MATLAB
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA NGC
Okera
PyCharm
R
SPARK
Snowflake
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Dragonfly

Date Founded

2004

Company Location

Canada

Company Website

dragonfly.comet.tech/en/product-overview/dragonfly-3d-world

Company Facts

Organization Name

Domino Data Lab

Date Founded

2013

Company Location

United States

Company Website

www.dominodatalab.com

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

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

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