DataVLab Description
DataVLab provides exceptional image annotation and data labeling services specifically designed for AI applications. Their solutions are tailored to enhance the accuracy and efficiency of AI models.
DataVLab Alternatives
Ango Hub
Ango Hub is an all-in-one, quality-oriented data annotation platform that AI teams can use. Ango Hub is available on-premise and in the cloud. It allows AI teams and their data annotation workforces to quickly and efficiently annotate their data without compromising quality.
Ango Hub is the only data annotation platform that focuses on quality. It features features that enhance the quality of your annotations. These include a centralized labeling system, a real time issue system, review workflows and sample label libraries. There is also consensus up to 30 on the same asset.
Ango Hub is versatile as well. It supports all data types that your team might require, including image, audio, text and native PDF. There are nearly twenty different labeling tools that you can use to annotate data. Some of these tools are unique to Ango hub, such as rotated bounding box, unlimited conditional questions, label relations and table-based labels for more complicated labeling tasks.
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Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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Labellerr
Labellerr is a data annotation platform aimed at streamlining the creation of top-notch labeled datasets essential for AI and machine learning applications. It accommodates a wide array of data formats, such as images, videos, text, PDFs, and audio, addressing various annotation requirements. This platform enhances the labeling workflow with automated features, including model-assisted labeling and active learning, which help speed up the process significantly. Furthermore, Labellerr includes sophisticated analytics and intelligent quality assurance tools to maintain the precision and dependability of annotations. For projects that demand specialized expertise, Labellerr also provides expert-in-the-loop services, granting access to professionals in specialized domains like healthcare and automotive, thereby ensuring high-quality results. This comprehensive approach not only facilitates efficient data preparation but also builds trust in the reliability of the labeled datasets produced.
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Labelbox
The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.
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Pricing
Free Version:
Yes
Free Trial:
Yes
Integrations
No Integrations at this time
Company Details
Company:
DataVLab
Year Founded:
2019
Headquarters:
France
Website:
datavlab.ai
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Product Details
Platforms
Web-Based
On-Premises
Types of Training
Training Docs
Live Training (Online)
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support
DataVLab Features and Options
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