Name: Labelbox
Price: 6 USD
Author: Labelbox

Call Center Workforce Optimization

Help Desk

Web and Video Conferencing

Customer Support

Functional Testing

Kubernetes Monitoring

Development

Business Intelligence (BI)

Collaboration

Enterprise Content Management

Integrated Workplace Management (IWMS)

PDF Editors

Privacy Policy Generators

Enterprise

Accounting

Accounts Payable

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Stock Option Plan Administration

Talent Intelligence

Talent Management

Vendor Management Systems (VMS)

Workforce Analytics

Workforce Management

Human Resources

3D Printing

Cloud Storage

Complex Event Processing

Composable Infrastructure

Data Collaboration

Deception Technology

Fraud Detection

Integration Platform as a Service (iPaaS)

Internet Performance Monitoring

LAN Switches

Network Performance Monitoring

Remote Desktop

Robotic Process Automation (RPA)

SaaS Backup

Service Desk Outsourcing

Software Asset Management

Storage Management

Telecom Expense Management (TEM)

User Virtualization

Vector Databases

Web Scraping

Zero Trust Security Solutions

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Customer Advocacy

Digital Content Creation

Email Deliverability

Email Marketing

Employee Advocacy

Headless CMS

Marketing Automation

Referral Marketing

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Field Sales Software

Government Contracting

Social Commerce

Sales

Secure Access Service Edge (SASE)

Security

Awards Management

Card Management

Dealer Management

Healthcare Learning Management

Investment Portfolio Management

Medical Scheduling

Retail Analytics

Text Analysis

Vertical-Specific

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### Project and Task Management
Users consistently highlight Labelbox's project and task management capabilities as a key strength of the platform. They appreciate the ease of handling multiple tasks, tracking progress, and collaborating with teams across various projects. While some minor issues like occasional slow service and buffer time between tasks have been noted, overall, users find Labelbox's project and task management functionalities to be efficient and effective. The platform's user-friendly interface, smooth workflow for labeling and quality assurance processes, and helpful filtering options contribute to a positive user experience in managing tasks and projects efficiently.

### Collaboration and Teamwork
While some users appreciate Labelbox's collaboration and teamwork features, others express concerns about the user interface not being user-friendly enough for effective collaboration. Additionally, there are mentions of difficulties in accessing stored data and prolonged technical team support. Suggestions for improvement include enhancing data accessibility for collaborators within the platform to streamline collaboration efforts.

### Data Annotation and Labeling
Users generally praise Labelbox's data annotation and labeling capabilities for their ease of use and integration of various functions. The tool's auto annotation feature streamlines the annotation process, making it more efficient and accurate. However, some users have reported occasional issues with image locking and slower service access. Despite these minor drawbacks, Labelbox's data annotation and labeling functionality is seen as a valuable asset for tasks such as object detection, categorization, and segmentation in various projects, including medical image processing and scientific imaging. The tool's ability to handle large datasets, track labeled data features, and facilitate model predictions has been particularly beneficial for users working on image annotation tasks.

Users have made several recommendations for Labelbox based on their experiences. 

Users have suggested that Labelbox should improve its speed and reduce the buffer time between tasks. This would allow users to work more efficiently and seamlessly on the platform.

Many users highly recommend Labelbox due to the significant amount of time and effort it saves. The software streamlines tasks in a way that is described as magical by some users, making it a valuable tool for various projects.

Users have also recommended utilizing the feedback feature in Labelbox. This allows users to provide suggestions, report bugs, and offer insights for further improvement of the software.

Overall, users recommend using Labelbox because it is a web-based platform that is easy to integrate with cloud services and offers useful features. Additionally, users find it simple to work on, making it accessible for different skill levels.

Labelbox is a versatile software that helps users with several business challenges related to machine learning and image processing. Users employ Labelbox for a range of applications, including training bots for customer support, creating image annotations, and managing large datasets for medical research. The software's real-time performance evaluation and collaboration features enable teams to work together efficiently on complex projects, ensuring the quality and consistency of annotated data.

Labelbox is particularly useful in medical image processing tasks such as segmentations and reviewing assignments based on their quality. It also helps create large pathology datasets without the need for coordination with physicians around the globe. Furthermore, users can now programmatically import and export data, enabling them to create massive datasets rapidly while reducing human error. With Labelbox, users can streamline data creation workflows, train neural networks more effectively, and create annotation pipelines that integrate seamlessly with existing code. Overall, Labelbox makes data creation more efficient while helping businesses solve a range of use cases related to machine learning and image processing effectively.

User-friendly platform: Reviewers have consistently praised Labelbox for being user-friendly and having an intuitive interface, allowing them to navigate the software with ease. Several users have reported that they were able to complete tasks more efficiently due to the smooth workflow of both labeling and QA processes.

Valuable tool for data annotation: Many reviewers found Labelbox to be a valuable tool for data annotation, thanks to its range of features such as the ability to augment unstructured datasets with just a few clicks, track features of labeled datasets, and update labels with model predictions. The automation of the training process via Labelbox's API support has also saved users time and simplified the process of generating a validated dataset.

Collaborative features: The collaborative features in Labelbox, including the ability to integrate many features and work with multiple users, make it an excellent tool for team projects. Reviewers praise how easy it is to identify objects quickly thanks to its user-friendly dashboard filter system.

Difficult UI Navigation: Many users have reported that the user interface of Labelbox is difficult to navigate, which makes it hard to understand and complete multiple tasks. Some reviewers noted that the UI needs improvement to make it more user-friendly.

Poor Technical Support: Several users have reported prolonged technical team support from Labelbox, and there are frequent maintenance issues. Users expressed a need for better technical support and less downtime due to maintenance.

Expensive Pricing: A few users have reported high pricing for Labelbox services, which may not be affordable for startups or small businesses. These reviewers suggested offering low-price options for smaller companies.

Labelbox aims to solve the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, Labelbox's main product is a platform designed to make it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications.

Workforce Services

Studio Pricing - Free

Studio Pricing - Standard

Production Web API - Dev/Test

Production Web API - Standard S1

Production Web API - Standard S2

Production Web API - Standard S3

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

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Labelbox

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

Demo Video: Prepare unstructured data for AI with Labelbox on Databricks

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What is Labelbox?