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Whether you need portraits, photos of text, or any other type of image data, our data collection experts can help you collect large datasets from a variety of sources.
Watching through thousands of hours of videos is tedious. The Label Your Data team can do it for you to find the specific footage you need for your project.
Locating, processing, and annotating the text data is time-consuming, especially for projects like market research or predictive analytics. We’ll help you build a text dataset that fulfills your data collection requirements.
Trust our expert data collection services to get the accurate data foundation you need for developing algorithms and training models for your ML initiatives.
Together with you, we determine the specific data sources and parameters that will be used to collect a comprehensive and unbiased dataset.
We adhere to the policies and legal standards, such as the GDPR, of the data sources used in the data collection process.
Our team can create customized datasets for you through on-site data collection. This data is exclusively available to you and not publicly accessible.
Discover our data collection process and expert methodologies to gather the data you need for your successful model development.
The first stage involves a consultation with the client, during which we collaborate to ascertain their particular data requirements and project goals. At this stage, we coordinate with you the key project details, such as the type of data you need and data collection methods.
We provide a detailed estimation of the time and resources required for data collection. Together, we define the criteria and standards by which the collected data will be accepted. Also, we agree on the data sources to be used and establish the preferred format for the data delivery.
Next, we assemble a dedicated team that will collect such a dataset and start the project. Our data collection process implies finding the appropriate pieces of information and gathering them into a single set that corresponds to your goals. It can be collected in different formats, from images and videos to text and audio. Whatever your needs, we’ll get you the best data collection solution to fit your unique project.
We send collected data to you in batches, allowing you to monitor quality, acceptance, and collection progress. On request, we can set up on-site teams and provide the option of gathering data directly from the source. The data delivery may include uploading the dataset to your cloud storage or providing links to the collected data.
Our 10+ years of experience in building remote teams allows us to expertly navigate 500+ data annotators and experienced analysts to provide data collection services in 55 languages. If you choose us as your data collection company, you get the winning mix of quality, speed, and security.
Absence of relevant data on the web and on the free databases
Creation of a dataset from scratch
Our Client was working on a virtual translator app and required us to collect 5000 photos of different texts, from street signs to menus to random graffiti. We faced the challenge of insufficient data, especially for certain languages. To overcome this, our experts were given cameras and sent to specific locations to take unique photos of the texts in regional languages.
Severe lack of appropriate footage
Increasing the team for hand-picking the material
An IT start-up was building a sports app that allowed users to exercise from home, with an ML algorithm that could recognize movements and provide coaching tips. Our team was tasked with collecting 200 videos for 10 exercises. While such footage was available on the internet, it was challenging due to the overwhelming amount of available material. We increased our team to meet the client’s timeframe.
Collecting a diverse cryptocurrency text dataset
Web scraping from open forums and data augmentation
Our Client was designing a crypto AI-powered chatbot. To train it, our experts were asked to collect 10 000 question-answer pairs related to cryptocurrency in English. To achieve this, we utilized web scraping techniques to collect data from open forums. We then performed data augmentation by modifying some of the collected questions to create 2-3 new questions, thus enriching the dataset.
Common data collection techniques include surveys, interviews, observations, experiments, as well as methods for collecting image, audio, video, and text data such as photography, audio and video recording, and text transcription.
The data collection process includes defining the research question, choosing the right tools and methods, collecting the data, quality and data verification, and preparing the data for analysis.
When choosing a data collection firm, you should prioritize factors such as the company’s expertise, their data security measures, and quality control processes to ensure the reliability and accuracy of their data collection service.
A data collection service is a service that gathers, processes, and stores data from various sources for further analysis and insights. It’s often used by businesses and researchers to gather information on customers, competitors, and industry trends.