Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • ZenTreasury Reviews & Ratings
    9 Ratings
    Company Website
  • Picsart Enterprise Reviews & Ratings
    27 Ratings
    Company Website
  • FastBound Reviews & Ratings
    24 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    46 Ratings
    Company Website
  • ND Wallet Reviews & Ratings
    14 Ratings
    Company Website
  • Label LIVE Reviews & Ratings
    178 Ratings
    Company Website
  • QEval Reviews & Ratings
    30 Ratings
    Company Website
  • Airlock Digital Reviews & Ratings
    35 Ratings
    Company Website
  • ManageEngine ServiceDesk Plus Reviews & Ratings
    1,725 Ratings
    Company Website

What is Colabeler?

The platform offers features such as image categorization, bounding box detection, polygon annotation, curve tracing, and 3D positioning. Furthermore, it also includes capabilities for video tracking, text categorization, and named entity recognition. Users can enhance their experience by creating custom task plugins to design their own labeling tools. Files can easily be exported in the PascalVoc XML format, which aligns with the standard used by ImageNet, in addition to the CoreNLP format. This software is designed to work across various operating systems, including Windows, Mac, CentOS, and Ubuntu. Such compatibility guarantees that users can effortlessly incorporate it into their current workflows, enhancing productivity and efficiency. As a result, this platform caters to a wide range of labeling needs across different applications.

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

APERIO DataWise
Azure AI Search
Azure Data Science Virtual Machines
Azure Database for MariaDB
Azure Kinect DK
Azure Percept
BotCore
Cranium
Evvox
Kedro
MLflow
Microsoft Azure
ModelOp
NVIDIA Triton Inference Server
New Relic
Omnisient
Slingshot
Superwise
Visual Studio Code
Wizata

Integrations Supported

APERIO DataWise
Azure AI Search
Azure Data Science Virtual Machines
Azure Database for MariaDB
Azure Kinect DK
Azure Percept
BotCore
Cranium
Evvox
Kedro
MLflow
Microsoft Azure
ModelOp
NVIDIA Triton Inference Server
New Relic
Omnisient
Slingshot
Superwise
Visual Studio Code
Wizata

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

Colabeler

Company Location

China

Company Website

www.colabeler.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

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

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

Popular Alternatives

Popular Alternatives