Appen
AI-assisted data annotation platform
- Paid • Proprietary
- Online
...
What is Appen?
Appen's enterprise crowdsourcing solutions offer a cost-conscious, elastic workforce which gives companies immediate, high-quality work.
The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models.
Our Platform Includes:
Data Annotation Capabilities: High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.
Enterprise Capabilities: With over a decade of experience and 10+ billion judgments, our enterprise-ready data annotation platform delivers unprecedented quality and scale across a diverse set of industries and use cases. For large companies, we deliver enterprise solutions and multiple deployment options to support your robust business requirements.
Smart Labeling: Run your data annotation and collection projects using machine learning models that automate and improve productivity, quality, and delivery throughout the training data preparation journey.
Workflows, which allow customers to build and automate multistep data annotation projects with ease. Customers now have access to a real data pipeline solution that reduces latency and increases efficiency via automated data routing.
The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models.
Our Platform Includes:
Data Annotation Capabilities: High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.
Enterprise Capabilities: With over a decade of experience and 10+ billion judgments, our enterprise-ready data annotation platform delivers unprecedented quality and scale across a diverse set of industries and use cases. For large companies, we deliver enterprise solutions and multiple deployment options to support your robust business requirements.
Smart Labeling: Run your data annotation and collection projects using machine learning models that automate and improve productivity, quality, and delivery throughout the training data preparation journey.
Workflows, which allow customers to build and automate multistep data annotation projects with ease. Customers now have access to a real data pipeline solution that reduces latency and increases efficiency via automated data routing.
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- Developed by Appen Limited
- Proprietary and Commercial product.
- One time purchase (perpetual license)
- 22 alternatives listed
Popular alternatives
View allAppen was added to AlternativeTo by Thelle on May 24, 2012 and this page was last updated Dec 7, 2021. Appen is sometimes referred to as Figure Eight, Crowdflower.
Recent user activities on Appen
- dslabglobal added Appen as alternative(s) to Labeling AI9 months ago
- dbbert added Appen as alternative(s) to Segments.ai9 months ago
- IanDorfman edited Appen11 months ago