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Description
Datature serves as an all-encompassing, no-code platform for computer vision and MLOps, streamlining the deep-learning lifecycle by allowing users to handle data management, image and video annotation, model training, performance evaluation, and deployment of AI vision solutions, all within a cohesive environment that requires no coding skills. Its user-friendly visual interface, along with various workflow tools, facilitates dataset onboarding and annotation—covering aspects like bounding boxes, segmentation, and intricate labeling—while enabling the creation of automated training pipelines, monitoring of model training, and analysis of model accuracy through detailed performance metrics. Following the assessment phase, models can be conveniently deployed via API or for edge applications, ensuring their practical use in real-world scenarios. Aiming to make AI vision accessible to a broader audience, Datature not only accelerates the timeline of projects by minimizing the need for manual coding and debugging but also enhances collaboration among teams across different disciplines. Additionally, it effectively supports various tasks, including object detection, classification, semantic segmentation, and video analysis, further broadening its applicability in the field of computer vision.
Description
Comprehensive annotation services that are scalable and offer quick turnaround times with exceptional precision are available. These services include 2D/3D bounding boxes, polygons, polylines, landmarks, and semantic segmentation solutions tailored for various applications, from LiDAR to geospatial imagery. Zuru's experts tackle intricate computer vision algorithms, addressing challenging edge cases and diverse taxonomies. Additionally, text annotations are provided in all major global languages, including less common ones like Bahasa, Cantonese, Finnish, and Hungarian. A dedicated team of trained linguistic labeling specialists has successfully annotated over 10 million data points across multiple sectors, including Retail, BFSI, and Healthcare. Whether it's advanced labeling for customer service automation or basic transcription and audio diarization, Zuru's team has experience in a wide array of tasks. Furthermore, a multilingual team of translators and interpreters is skilled in various accents and dialects, ensuring that AI teams gain a deeper understanding of cultural subtleties across different languages and regions. This extensive expertise highlights Zuru's commitment to delivering high-quality, context-aware annotation solutions for a diverse range of clients.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Datature
Founded
2020
Country
United States
Website
datature.io
Vendor Details
Company Name
Zuru Services
Founded
2019
Country
India
Website
zuru.ai/
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
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
Product 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