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Data Annotation

Data Annotation is the human-powered data labeling of text, images, video, and audio data to enable machine learning systems to identify objects within data. Our global pool of resources at Argos provides annotation solutions customized to your machine learning needs. We preprocess your data with metadata tags to make clean and usable data sets for your AI training programs.

75+ languages for rich AI training sets.

Text Data Labeling

Beyond simple text strings, data labeling enriches your text with meta tags that provide the context, structure, and object recognition needed for AI training sets.

Text data labeling is a type of annotation in which meta tags identify parts of a text and add rich information for machine learning systems. These include linguistic annotation, entity annotation, and sentiment analysis. Argos discovers your custom labeling needs and provides human-powered annotations in over 75 languages.

for pattern recognition and computer vision

Image & Video Annotation & Transcription

Improve your computer vision and pattern recognition solutions with quality human annotation of image data.

When public data sets are not enough, Argos provides customized image annotation. We offer annotation services including bounding boxes, semantic segmentation, image classification, and text transcription. With a global team working in over 75 languages, Argos provides clean, multilingual data for your machine learning systems.

for data that's easier to read

Audio Annotation & Transcription

Transform your audio data into a simpler format that can be read and parsed by AI through transcription and annotation.

Text transcriptions and descriptive meta tags for your audio make it more usable for machine learning. Transcriptions allow AI systems and search engines to crawl your audio and understand it. Annotation provides richer information for your machine learning models.

analyze your audio data to improve testing sets

Audio Classification

Classify audio data for improved natural language processing (NLP) in speech recognition, chatbots, text to speech, and voice search.

Audio classification is the process of analyzing audio data and categorizing it for use in machine learning. With in-country resources in over 75 languages, Argos meets your multilingual audio classification needs. Our human-based approach generates clean data sets to improve your natural language processing systems.

Human-analyzed sentiment data

Sentiment & Intent Analysis

Categorize and annotate sentiment and intent in your text, voice, image, and video data with quality human analysis.

Intention and emotion can be a challenge for AI to understand. They often require large training sets of human-annotated sentiment data for reliable results. Such data sets include text analysis, social listening, emotion analysis, opinion mining, and language variations. Argos is a global company with in-country data analysis resourcing in over 75 languages to cover your multilingual sentiment analysis needs.

Other Solutions & Services

Learn more about our other services

Large Language Model (LLM) Solutions

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Data Collection, Annotation, and Evaluation

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Custom Machine Translation Solutions

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Our resources

Latest insights & resources

Understanding Sentiment Analysis: Bridging Human Emotions and AI


The Story of Data and Sound: How Collecting Bytes and Beats Enhances Our Lives


The Dawn of a New AI Era: Understanding Semantic AI and Its Significance

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