AI Training Data – Quality Data for Your Algorithm

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.

Datasets for Machine Learning

AI Training Datasets by clickworker

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.

Generation of Training Data for AI

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.

person talking into their phone to generate Audio Datasets

Voice Recordings / Audio Datasets

Build learning-based speech recognition systems in multiple languages.

person taking a picture with their phone to generate Image Datasets

Photos / Image Datasets

Get facial imagery, including facial expressions, for human feature and emotion recognition.

phone recording a video of a person in their home to generate Video Datasets

Video Recordings / Video Datasets

Train learning-based algorithms to analyze and evaluate a scene from moving images.

laptop and person writing into a notebook for Text Creation

Text Creation

Select handwritten and/or typed text for visual recognition and contextual analysis of text input.

person creating input for ai training data

Labeling & Validation of AI Training Datasets

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.

image with encircled objects for ai training data

Image Annotation

Train autonomous driving and parking systems with image annotation of road signs and vehicles.

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Text Analysis

Let the crowd do your text evaluation and text mining micro-tasks, such as sentiment annotation.

crossed out pear next to two apples

AI Output Evaluation

Verify AI results through humans after training learning-based algorithms.

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Benefits of AI Training Data

  • AI training data created specifically for your needs
  • Wide variety of AI datasets due to a large and globally distributed crowd
  • Data harvesting and evaluation by humans
  • Combination of raw AI training data generation + tagging and annotation services
  • Unlimited usage rights of all AI training datasets
  • API integration available

Order Specifications
for AI Datasets for Machine Learning

Would you like to enquire about our Managed Services for “AI Training Data”?
Here’s what we need to know:

  • What is the general scope of the task?
    • What type of AI training data do you need?
    • In what way do you need the AI training data to be processed?
    • What type of AI training datasets do you need us to evaluate? How do you want it to be evaluated? Do you need us to follow a specific instruction set?
    • What do you need to test or run through a set of processes? Do these tasks require a specific form?
  • What is the size of the AI training data project?
  • Do you require Clickworkers from a specific region?
  • What kind of quality control requirements do you have?
  • What data format do you require the AI training sets to be delivered in?
  • Do you need an API connection?

For Photos:

  • What format do you need the photos in?

What our Customers say about our AI Training Data Services

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!

Training data for machine learning - TMobile
Training data for machine learning - Unbotify
Training data for machine learning - TennisPoint
Training data for machine learning - WeFi
Training data for machine learning - Elbit Systems
Training data for machine learning - Sharewise

clickworker Expertise on AI Training Data Services

White Paper:

Datasets for Voice bot training - White Paper

White Paper: Bringing Intelligence to Voice Bots to Improve the Customer Experience

We explain the challenges of training chatbots, show what is important and how to overcome them successfully.

Datasets for Machine Learning - White Paper

White Paper: Achieving AI ROI Through Data Quality and Diversity

Talk about clickworker’s experience in successful customer AI training projects and the importance of high quality and diverse AI training sets.

Podcasts with CEO Christian Rozsenich – AI in Business

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.

Case Studies

We derived case studies from real projects. These live ai training data examples can help you define your own microtasks for machine learning.

Further Information and Links on the Subject of AI Datasets for Machine Learning AI

AI Datasets for Machine Learning – FAQ

What is AI training data?

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.

Which database is used to train a machine learning model?

In machine learning, the process typically involves dividing your data into at least two key datasets:

  • Training dataset: This is the dataset used to train the machine learning model. It includes both the input variables (features) and the corresponding output variables (labels or targets). The training dataset allows the model to learn the patterns in the data by adjusting its parameters to minimize the difference between its predictions and the actual results.
  • Test dataset: After the model has been trained on the training dataset, the test dataset is used to evaluate the performance of the model. The test dataset is separate from the training dataset and has not been seen by the model during training. This dataset also contains both input variables and the corresponding outcomes. Evaluating the model on the test dataset provides an estimate of how well the model is likely to perform on unseen data.
A third type of dataset is often mentioned, known as the Validation Dataset, which is used to fine-tune the model parameters. This helps to avoid overfitting the model to the test dataset.

Which database management system is best for machine learning?

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.

What are the main AI data types?

AI training data can be divided into four main types:

  • Visual data - graphics, photos and videos
  • Audio data - voice and speech recordings
  • Textual data - linguistically relevant characters, words, sentences
  • Numerical data - numbers and measurements
AI training data can be used as raw data or as labeled, tagged, or annotated data, depending on the training and learning methods and objectives.

Where to get training data for machine learning?

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.

What makes a good AI dataset for machine learning?

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.

How is AI training data priced?

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.