AI training data is the basis for building and improving AI models. Your algorithms need human interaction if you want them to provide human-like results. Our AI training data services focus on computer vision and conversational AI. Find out more and buy quality AI training data.
With over 6 million Clickworkers, we can help you get more out of your algorithms by generating, labeling and validating unique AI datasets, specifically tailored to your needs. We can also provide you with a solution to quickly analyze the results of your AI’s output.
Collecting large amounts of high-quality AI training data that meets all the requirements for a specific learning objective is often one of the most difficult tasks while working on a machine learning project.
For each individual project, clickworker can provide you with unique and newly created AI datasets, such as photos, audio, video recordings and text to help you develop your learning-based algorithm.
Build learning-based speech recognition systems in multiple languages.
Get facial imagery, including facial expressions, for human feature and emotion recognition.
Train learning-based algorithms to analyze and evaluate a scene from moving images.
Select handwritten and/or typed text for visual recognition and contextual analysis of text input.
In most cases, well-prepared AI training data is only attainable through human annotation. Labeled data often plays an essential role in the successful training of a learning-based algorithm (AI). clickworker can assist you in preparing your AI training data with an international crowd of over 6 million Clickworkers by tagging and/or annotating text as well as imagery based on your needs.
In addition, our crowd can ensure that your existing AI training data meets your specifications, and even evaluate the output of your algorithm using human logic.
Train autonomous driving and parking systems with image annotation of road signs and vehicles.
Let the crowd do your text evaluation and text mining micro-tasks, such as sentiment annotation.
Verify AI results through humans after training learning-based algorithms.
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We are constantly optimizing our AI systems in the field of mobile communication and virtual assistants. clickworker is the ideal partner and helped us quickly obtain AI training data in the form of possible questions formations for training of our AI systems. Recently, 1,000 predefined questions were paraphrased between 100 and 200 times by Clickworkers. This AI training data was essential!
Harnessing over a decade of experience, clickworker specializes in delivering high-quality and diverse AI training data for industry-leading machine learning and AI solutions. Our white papers provide actionable insights, proven strategies, and practical solutions for overcoming the challenges of training AI systems, from voice bots to complex machine learning models.
We explain the challenges of training chatbots, show what is important and how to overcome them successfully.
Talk about clickworker’s experience in successful customer AI training projects and the importance of high quality and diverse AI training sets.
Are you looking for real insight? Find out more about the role of crowdsourcing in training data for AI and listen to the interviews with clickworker CEO Christian Rozsenich.
We derived case studies from real projects. These live ai training data examples can help you define your own microtasks for machine learning.
Do you want to learn more about training datasets for machine learning? Check out our blog to learn more about the latest trends in AI, as well as detailed information on how machine learning works.
AI training data refers to the collection of information used to train artificial intelligence (AI) models. This data can come in a variety of forms, such as text, images, video or numerical data, depending on the type of AI model being developed. The purpose of training data is to provide a rich set of examples from which the AI can learn to understand patterns, make predictions, or perform tasks. The quality and quantity of training data has a significant impact on the performance of the AI model, as it relies on this data to learn how to make decisions or produce results accurately. Essentially, AI training data acts as the foundational knowledge that an AI system uses to develop its capabilities.
In machine learning, the process typically involves dividing your data into at least two key datasets:
One of the most commonly used database management systems for machine learning is the MySQL relational database. The reason it's so common is because of its ease-of-use and affordability, as well as the fact that it's a relational database. The SQL language is simple, which makes it easy for developers to learn the basics of machine learning without much effort or study.
AI training data can be divided into four main types:
It depends on the specific use case. You can use publicly available data and datasets or create your own dataset with historical records. If the training data needs to be more specific and professional you should contact an AI & ML training data provider like clickworker.
A good AI dataset for machine learning would be one that contains a lot of data and is well structured so that the machine learning algorithm can easily learn from it. High quality AI datasets in large quantities are the basis for successful AI and machine learning training. If possible, you should also collect individual, newly created data to create a unique dataset that cannot be copied by your competitors. A common dataset for machine learning is the Netflix dataset.
Pricing for AI training data depends on how much data you need, the type of language and whether it is tied to a subscription or a one-off fee. The price can be determined by the amount of data you need, or by the size of your budget. It depends on a number of factors such as project size, complexity, customer and system requirements, and is determined on a case-by-case basis. If you are interested in this service, please contact clickworker directly.