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Labelbox is a versatile software that helps users with several business challenges related to machine learning and image processing. Users …
Starting at $6 Per Hour
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What is Labelbox?
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…
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Workforce Services
$6.00
Cloud
Per Hour
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Product Demos
Demo Video: Prepare unstructured data for AI with Labelbox on Databricks
YouTube
Product Details
- About
- Tech Details
What is Labelbox?
Labelbox Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
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TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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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.
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.