Uncover the latest AI trends in Appen's 2024 State of AI Report.

AI Data Collection to Power Innovation

AI and ML models require large volumes of AI training data. As AI adoption increases so does the need for novel datasets to address unique scenarios. Collect data from reputable sources to ensure your models learn from diverse, high-quality inputs and deliver accurate and effective performance across varied applications.

How is AI training data gathered?

AI training data often comes from off-the-shelf datasets, structured knowledge bases, or crowdsourced human contributions. While pre-existing datasets can address various needs, many companies require custom data for training their models. After collecting raw data, data annotation helps models recognize patterns and improve prediction accuracy.

AI Data Collection Services

86% of companies retrain or update their models at least once a quarter. Frequent model iterations require a pipeline of fresh data that is accurate, diverse, and representative of end-users to generate quality outputs.

Remote collections

Our crowd uses our propriety, multi-device platform to collect data in their home or public environments as provided. Our platform supports a wide variety of data types including image, video, speech, audio, text and location data.

On-site collection

We offer multi-country, fully supervised data collection sessions using specialized equipment at one of Appen’s global facilities, customer sites, professional recording studios, rented home environments, or in-car environments.

Device collections

We support data collection using various next-generation technologies and prototypes such as AR/VR glasses, wearable devices, and smart home devices. Device collections can be moderated on-site or as remote collections to ensure seamless logistics.

Location & Point-of-Interest

Collect and annotate high-quality data for AI and geospatial platforms. We offer specialized services for mobile location and Points-of-Interest (POI) data with an emphasis on privacy, compliance, and eliminating data bias.

Off-The-Shelf (OTS)

We offer over 290 off-the-shelf datasets in 80+ languages with ongoing additions to meet the evolving demands of AI development. Our data types include speech, audio, text, documents, images, video, and location data. This extensive collection provides developers with ready-to-use high-quality data for a variety of AI projects.

Data for Every Use Case

Across all use cases, from digital assistants to augmented reality, AI models depend on high-quality data to generate accurate and relevant outputs. Applications include:

AR/VR Technology

Crowdsource data from real people on a range of devices and train your model to visualize your product in a customer’s home or interpret human gestures in a virtual reality experience.

Automotive

Leverage custom data collection and expert support to innovate in the automotive industry with reliable in-cabin speech recognition software, vehicle simulations, and autonomous vehicles.

Customer Support

Deliver a high-quality customer experience by training your conversational AI chatbots and phone systems on relevant human data and evaluating performance in real-world scenarios.

Collect AI Data at Scale

Develop Your Data Collection Pipeline

Harness the power of Appen’s 1+ million contributors worldwide to collect data for your unique use cases.

Analyze

Establish project requirements and goals

Design

Develop data collection & quality assurance workflows

Collect

Gather data in your target locales with our global crowd

Prepare

Annotate and evaluate data in our AI Data Platform

Deliver

Package and deliver data according project requirements

AI Data Collection Tools

Gather, annotate, and evaluate data for your models with leading data collection tools.

AI Data Platform

Appen's AI Data Platform (ADAP) combines automated tools with human expertise to efficiently manage data collection and annotation across various modalities, such as images, videos, text, and audio. This platform simplifies complex workflows, enabling faster model development and ensuring the data aligns with the specific requirements of AI systems.

Mobile App

Appen Mobile is a user-friendly app that lets contributors easily capture and submit photos, videos, and audio for AI projects. With clear prompts and flexible tasks, participants globally can contribute high-quality data that powers advanced AI models. Available on Google Play and the Apple App Store.

Why Appen?

Target demographics and scale projects

Access our crowd of over 1 million skilled contributors, across 200+ countries and 500+ languages, providing diversity and scalability for your data collection needs.

Intuitive tooling for diverse data types

Appen’s platform and tools support all major data types including image, video, text, and audio, enabling you to collect and annotate custom datasets with ease.

Experts in bespoke, high-quality data

Appen has delivered 15,000+ bespoke AI data projects to leading companies globally. Work with our specialists to get you the high-quality data you need from our crowd.

Start collecting data today

With over 25 years of experience, Appen provides data collection services to improve machine learning and generative AI models at scale. Our global footprint allows our clients to quickly capture large volumes of high-quality, customized data. We provide data collection as a standalone service or with annotations based on your specific guidelines or standard conventions. Whatever your data collection needs may be, our team of AI experts and data annotators are ready to create top quality datasets that give you the confidence to deploy your AI and ML models at scale.

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