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Labellerr VS CrowdFlower

Compare Labellerr VS CrowdFlower and see what are their differences

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Labellerr logo Labellerr

Labelling made easy-training data to build AI/ML models fast

CrowdFlower logo CrowdFlower

Enterprise crowdsourcing for micro-tasks
  • Labellerr Landing page
    Landing page //
    2021-08-05

Labellerr is an automated data labeling platform to help ML teams to build training data for their computer vision and NLP model training. It also provide expert/human in the loop services to its customers for high quality labeling.

  • CrowdFlower Landing page
    Landing page //
    2019-01-26

Labellerr videos

+ Add

Auto-label Data In Minutes With Labellerr To Save Time & Cost

CrowdFlower videos

+ Add

How to Work on Figure Eight Tasks | How to work on crowdflower tasks | How to work on appen tasks

More videos:

  • Tutorial - How to work on Figure Eight Task | Earned 5$ in 15 mins | Easy Crowdflower Figure Eight Task

Category Popularity

0-100% (relative to Labellerr and CrowdFlower)

Labellerr

CrowdFlower

AI
37 37%
AI
63% 63
Image Annotation
0 0%
Image Annotation
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Labeling
13 13%
Data Labeling
87% 87

User comments

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What are some alternatives?

When comparing Labellerr and CrowdFlower, you can also consider the following products

Labelbox - Build computer vision products for the real world

Amazon Mechanical Turk - The online market place for work.

CloudFactory - Human-powered Data Processing for AI and Automation

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

Alegion - Alegion provides an industry-leading data labeling platform, fully-managed data labeling services, and flexible solutions for every stage and type of data labeling for machine learning.

LINER - LINER AI Copilot is currently powered by ChatGPT/GPT-4, Google Search Engine, and information from high-quality highlights of an enormous number of users from all around the world.

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