Training Data

Our unique approach to providing you with reliable training data


Deploy World-Class AI Confidently With Our Reliable Training Data

To successfully deploy AI solutions, you need the right training data, and a lot of it. Partner with us to access the crowd, platform, and expertise needed to generate world-class, reliable training data at scale.

What is Training Data and Why is it Important?

Training data is labeled data used to teach AI models or machine learning algorithms to make proper decisions.

For example, if you are trying to build a model for a self-driving car, the training data will include images and videos labeled to identify cars vs street signs vs people. If you are creating a customer service chatbot, the data may be all the different ways to ask "what is my account balance?" both in text and audio, which is then translated to different languages.

Training data is paramount to the success of any AI model or project. Think of it as garbage in, garbage out. If you train a model with poor-quality data, then how can you expect it to perform? You can’t and it won’t.

You may have the most appropriate algorithm, but if you train your machine on bad data, then it will learn the wrong lessons, fail expectations, and not work as you (or your customers) expect. Your success is almost entirely reliant on your data.

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Why Appen

Training data isn’t labeled or collected on its own. Human intelligence is required to create and annotate reliable training data. Our high-quality training data is possible thanks to our:

Data science for platforms like speech recognition, machine learning datasets, testing sets and more | Appen


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Machine learning algorithms help contribute to machine learning datasets | Appen


To produce the volume of training data required to confidently deploy world-class models, you’ll need an army of contributors and an experienced crowd management service to ensure annotators are identified and certified to your specifications. We are proud to offer a crowd of over one million contributors, in over 130 countries, and supporting over 180 different languages.

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Our expertise in AI helps us improve large scale machine learning datasets | Appen


With over 20 years of experience scoping and delivering more than 6,000 ML projects, we understand the complex needs of today's AI projects. Our solutions provide the quality, security, and speed used by leaders in technology, automotive, financial services, retail, manufacturing, and governments worldwide.

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Additional Training Data Resources


eBook: The Essential Guide to Training Data for AI and ML

There’s a saying of garbage in, garbage out when it comes to artificial intelligence and machine learning. It’s common knowledge that every machine learning solution needs a good algorithm powering it, but what gets far less press is what actually goes into these algorithms: the training data itself. Your model is only as good as the data it’s trained on. That’s why we built this training data guide.

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Blog Post: How Off-the-Shelf Training Datasets Can Save Your Machine Learning Teams Time and Money

Creating a high-quality dataset for training machine learning algorithms can be a difficult uplift for getting AI and ML projects off the ground. And if you’ve already moved beyond the cold-start problem, it can be hard to find enough sufficient data to use to improve the overall quality of the model. To help save time, money, and ensure quality, machine learning teams are turning to bespoke, off-the-shelf training datasets.

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Video: High Quality Training Data for Machine Learning

AI is improving the world. But successful deployments are not easy and only 20% of AI projects see the light of day with the right partner you can deploy at more than three times that rate. The key to confidently deploying world-class AI is working with reliable high-quality training data. For over 20 years, we've been the data partner for leading tech automotive, financial services, healthcare, retail, and commerce companies, as well As for non profit organizations and government institutions.

Customers Running World-Class AI


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Types of Training Data

Testing data helps text based language for speech recognition


Deploy text-based natural language processing with data that’s collected, labeled, and validated in a wide array of languages.

Image datasets for machine learning algorithms


Add computer vision to your machine learning capabilities by collecting and understanding image classification, or leveraging pixel labeling semantic segmentation.

Speech recognition helps build audio interfaces for machine learning datasets


Build interfaces that process audio with data that is collected as utterances, time stamped, and categorized across more than 180 languages and dialects.

Large scale quality machine learning datasets are analyzed for image datasets


Combine the best of audio and image annotation to process video and turn it into actionable training data for machine learning. Teach your model to understand video inputs, detect objects, and make decisions.

Data science helps leverage more machine learning datasets


Leverage even more data points by annotating data coming directly from sensors and enable machine learning models to make decisions on a variety of data sources including LiDAR and Point Cloud Annotation.