Appen Review

Appen is an artificial intelligence (AI)-enabled platform designed to help companies in the information technology (IT), automotive, retail, healthcare and other industries access training data to deploy applications. It enables employees to streamline natural language processing (NLP), speech analytics and data mining operations through a unified portal. The application allows data scientists to automate workflows and perform annotations and data labels. Appen‘s features include project management, performance monitoring, an activity dashboard, data quality control, security management and more.

APPEN – TUTORIAL

See how to make the most of this data management software:

APPEN – FEATURES

• Speed of Access: available immediately to support your AI/ML projects today
• Reliability: reduce risks of custom data collection projects which may go over deadline and budget, pre-labeled datasets are standard and reliable.
• Expertise: over 25 years of data collection experience, trusted by the world’s leading companies
• Support All Data Types: image, video, speech, audio and text
• Scale: provide the right amount of data to train your models effectively
• Quality: improve quality and minimize bias in your AI models
• Collect: collect user-generated content and links including audio, images, and websites to build data programs
• Classify: classify and categorize any kind of data at scale using our annotation platform. Moderate and sort high volumes of content with precision. Common use cases include content moderation, sentiment analysis, search relevance, product classification, and object classification
• Annotate: annotate images, text, videos, point clouds, and audio with our state-of-the-art technology platform. We also support text labeling tools like NER and parts of speech labeling
• Transcriptions: transcribe documents, images of documents, or website information. We offer audio transcription services to cater to scaling your natural language processing (NLP) and audio speech recognition (ASR) programs
• Support: the crowd of over one million skilled contributors supports over 235 different languages. With a suite of specialized linguistic experts in-house, we are more than equipped to translate large volumes of data to reliably train your AI and ML models.