Solutions & Services

GENERATING HUMAN-CENTRIC AI Training DATA

Human-centric data generation for AI involves creating and curating data with a focus on human needs and behaviours. We ensure that your AI systems are trained on relevant, high-quality data that accurately reflects real-world scenarios, improving their reliability, fairness, and overall performance. 

Leverage our global network of contributors to gather and curate diverse, relevant, privacy and bias free datasets. 

Why Having a Quality Data Generation Pipeline Matters
With all eyes focused on data quality, Generating human-centric training data presents numerous challenges. Insufficient infrastructure and resources for in-house collection can lead to model bias, misinformation, and subpar outputs.
Based on your requirements, we can collect text, speech, image and video data across various languages, edge cases and demographics. Collect data remotely using our proprietary app technology, or collect data in secure onsite locations for computer vision projects using your specific hardware.  
Image & Video Data Collection
AI object recognition requires large image data sets that conform to your preferred labeling and annotation methods. Argos provides custom image capture and annotation services that include bounding boxes, sentiment analysis, handwriting recognition, and transcription.
Audio Data Collection

ASR systems need large quantities of high-quality language data from numerous contexts and environments. Argos provides custom audio data sets that match your requirements for speaker profile, subject matter, and background sounds. With our global resources, Argos provides voice data in over 150 languages for your multilingual AI systems.

Handwritten Data Collection

Handwritten text recognition requires large data sets of text images paired with transcriptions and annotations. Argos provides clean text data in over 150 languages. Our human-in-the-loop process ensures that your training sets are clean and accurate, so your OCR systems learn better and faster.

Handwritten Data Collection

Handwritten text recognition requires large data sets of text images paired with transcriptions and annotations. Argos provides clean text data in over 150 languages. Our human-in-the-loop process ensures that your training sets are clean and accurate, so your OCR systems learn better and faster.

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.
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 150 languages.

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.
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 150 languages, Argos meets your multilingual audio classification needs. Our human-based approach generates clean data sets to improve your natural language processing systems.

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 150 languages to cover your multilingual sentiment analysis needs.

The value of data sets goes down exponentially if the quality is poor.

Validate your data to improve accuracy in your machine learning models.
Search Evaluation
Ensure your search algorithms respond to queries correctly and that your website pages display correctly when searched.
You have a lot of content. Our multilingual team will audit your search results pages and identify areas for improvements including caption evaluation, ad review, and search query categorization. We customize each project to fit your unique needs.
Data Redaction
Comply with privacy requirements and make the most of existing data sets by redacting sensitive or personal data.
Common types of data redaction include blurring or distorting of images, text, or audio. Argos has secure systems to redact your data and make it usable on a larger scale. With in-country resources all over the world, we can help you comply with local privacy laws when working with large AI training sets.
Content Moderation
Protect your brand and image by removing sensitive or inappropriate content from your channels.

As the importance of online customer engagement increases, so does the risk of an inappropriate post or image damaging your brand’s reputation. Argos provides content moderation services to identify potentially risky content and flags it. We can use a submission approval process, or we can scan your channels after content has been published. We have qualified analysts fluent in over 150 languages to keep your content culturally appropriate for any target market.

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