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Dataturks

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What is Dataturks?

Dataturks is a SaaS solution for effortlessly creating machine learning datasets. With fast data uploading and team collaboration, crafting training and evaluation datasets can be done in just a few hours. Equipped with pre-built features for image labeling, NLP tagging, and classification, Dataturks promises to transform your data annotation process. Experience the convenience of Dataturks today.

Dataturks Resources

Dataturks Pricing

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Key Features of Dataturks

  • Image Annotation
  • Text Annotation
  • Video Annotation
  • Audio Annotation
  • Named Entity Recognition
  • Sentiment Analysis
  • Text Classification
  • Object Detection
  • Semantic Segmentation
  • Instance Segmentation
  • Keypoint Annotation
  • Polygon Annotation
  • Polyline Annotation
  • Bounding Box Annotation
  • Ocr Annotation
  • Custom Annotation
  • Collaborative Annotation
  • Quality Control
  • Data Export
  • Api Integration

Specifications

Dataturks Description

Dataturks is a collaborative tool that streamlines the creation of accurate ML datasets in a fraction of the time. Easily invite team members, friends, colleagues, or external labelers to assist with dataset labeling through email. With Dataturks, the process of creating high-quality ML datasets is effortless and efficient.

Dataturks FAQ's

The top 5 features of Dataturks include:

  • Image Annotation
  • Text Annotation
  • Video Annotation
  • Audio Annotation
  • Named Entity Recognition

Dataturks supports a variety of platforms including: Email.

Dataturks serves a wide range of businesses including Freelancers, StartUps, SMBs, Enterprises.

The top three competitors of Dataturks are QuickBooks Online, CVViZ and Adverity. To find the best fit for your business, compare and evaluate each platform's features, advantages, disadvantages, and other key aspects.

Dataturks is available in multiple languages, including Chinese, English and more.

Alternatives of Dataturks

QuickBooks Online
CVViZ
Adverity
Hybrid Chat
Morph.ai
Razorthink
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