Clickworker
Generate diverse training datasets for AI systems
Target Audience
- AI/ML developers
- Data science teams
- eCommerce businesses
- Market researchers
Hashtags
Overview
Clickworker provides crowdsourced AI training data through a global network of 6 million contributors. They create custom datasets for computer vision, speech recognition, and NLP systems using real-world diversity. Services include data collection, annotation, and validation to improve machine learning model accuracy.
Key Features
Global Crowd
6 million contributors across 136 countries ensuring diversity
Custom Datasets
Tailored data for specific AI/ML project requirements
Multi-Format Data
Images, audio, video, text, and sensor data collection
Quality Validation
Multi-stage verification process for reliable datasets
Mobile Collection
App-enabled data capture for real-world scenarios
Use Cases
Train computer vision models
Improve speech recognition systems
Enhance NLP applications
Medical data annotation
Retail analytics via store checks
Pros & Cons
Pros
- Unparalleled geographic/cultural diversity in datasets
- Support for emerging AI needs like LLM training
- Combines human judgment with scalable processes
- ISO-certified data security standards
Cons
- Requires technical specs for dataset creation
- Limited real-time data processing capabilities
Frequently Asked Questions
How do you ensure data quality?
Combination of contributor qualifications, automated checks, and multi-layer validation processes
What data types can you collect?
Images, video, audio, text, sensor data, product info, and custom formats per project needs
Can I request specific demographics?
Yes - crowd filters include location, language, age, and specialized skills
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