Data Tagging Services for Precise Data Analysis
Make your data meaningful with our data tagging services. Our experts deliver the highest quality training data for your AI project needs.
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Data Tagging Services at Label Your Data
The Label Your Data team specializes in various functions of data tagging and works with different types of data, helping our clients scale both Computer Vision (CV) and NLP applications with professionally annotated datasets.
Image Classification
The task involves assigning labels or categories to an image according to its content using CV techniques. Our annotators carefully examine and label each image in your dataset. Our precise services can enhance the image recognition abilities of your models and simplify data analysis.
Audio Classification
As part of our data tagging services, we offer audio classification. Our experts thoroughly listens to each audio clip and manually assigns relevant tags based on the content and your project needs. This way, you can use labeled audio data effectively for various AI applications.
Text Categorization
An NLP task, for which our team manually tags textual data with relevant categories. We carefully read and analyze document-based data and assign appropriate labels based on its context. Thus, you can better organize your textual data and make use of it for sentiment analysis, topic modeling, or document classification.
Product/Item Tagging
To help your business effectively organize products or items, and make them easily discoverable for customers, we perform data tagging by manually assigning descriptive and accurate tags. We expertly examine your dataset based on various factors such as color, size, material, brand, and type. Efficient inventory management is also ensured.
Exclusive Benefits of Our Data Tagging Services
Label Your Data stands out from other data labeling companies by offering additional value-added features to help you achieve accurate and comprehensive results and maximize the potential of your ML learning models.
Flexible Business Model
We can adapt and seamlessly integrate our services into our clients’ existing admin systems, so that changes are immediately reflected. With our flexible business model, we provide both a dedicated annotation team and perform tasks ad-hoc/on demand.
Pay as You Go (PAYG)
Our company offers a PAYG pricing model, so you only pay for the work that is actually done, making it a cost-effective solution that aligns with your budgetary needs. You can scale your labeling requirements as needed, without long-term commitments.
Multiple Services at Once
Label Your Data offers parallel task handling in addition to data tagging solutions (e.g., 3D modeling, data collection, moodboard creation, image cropping). You can consolidate your project needs and reduce the time and effort required to manage multiple vendors.
How We Perform Data Tagging
At our company, we have honed a tried-and-tested that allows us to provide the most optimal data tagging and data labeling services for our clients.
Data collection
Data collection usually happens on the client’s side. But if you don’t supply any data, our team performs data collection at your request. You determine the type of data to gather, the volume, and the method for acquiring it.
Project requirements
At this stage, we coordinate with you the key project details. Together, we decide on the process, data tagging criteria, and annotation tools to create a complete dataset.
Pilot
As we receive the first batch of data, our annotators run a small annotation sample to verify all the edge cases with the client. A free pilot helps decide whether our data labeling service can satisfy all your demands.
Full-scale annotation
Once the pilot is done and the results are satisfactory, we proceed to full-scale data tagging by assigning a dedicated team to the project. On request, we can set up on-site teams and provide the option of working in the office. We perform data tagging in batches, allowing you to track progress.
Quality assurance
Before sending the completed annotations, we ensure their quality and validity by conducting a thorough QA.
Why Choose Label Your Data?
Our 10+ years of experience in building remote teams allows us to expertly navigate 500+ data annotators and provide expert data labeling services in 55 languages. If you choose us as your data labeling service provider, you choose the winning mix of quality, speed, and security.
Our Success Stories
Main challenge:
Indirect identifiers in medical records
Solution:
Anonymization and de-identification
Anonymization of Sensitive Data in Healthcare
Label Your Data annotated a few thousand medical records containing personal biometrical and health information for a client who was building a neural network for healthcare predictions. The data tagging team removed direct identifiers and analyzed the records to protect patient privacy, using generalization and DLP software. The team worked with the client to develop an anonymization protocol that adhered to basic guidelines with unique instructions.
Main challenge:
Highly sensitive personal payment information
Solution:
De-identification within the premises compliant with international security standards
Best Practices of Data Tagging in Finance
A financial firm sent us raw audio data containing personal payment information of customers. Our task was to transcribe the audio to text while avoiding data leaks. Prior to tagging, we removed PII from the data by beeping it, paying special attention to de-identifying sensitive data like car details, passwords, and CVVs, and following strict security controls in our PCI DSS and ISO-compliant offices.
Main challenge:
Security risks related to location
Solution:
Building a remote team of annotators located in EEA
Geographical Flexibility of Data Tagging Services
Our expense management client needed annotators located in EEA (European Economic Area) countries to build an algorithm for real-time OCR of checks and invoices. To ensure compliance, we assembled a remote team of annotators physically located in EEA, supervised by a remote manager. With this setup, Label Your Data provided top-notch data tagging services while adhering to the client’s requested security protocols.
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FAQs
What role does data tagging in machine learning play?
Data tagging in machine learning refers to the practice of assigning descriptive labels to data, which helps to enhance the training of ML models.
Why dataset tagging is an essential aspect of data annotation in ML?
Dataset tagging facilitates efficient organization and categorization of data, thereby enhancing the machine learning model’s training and learning processes.
What is the difference between tagging and labeling, and how do these two practices differ in their application?
An expert data entry services company can improve quality, lead to faster turnaround, and helps companies focus on core functions.
What are the main types of data entry services?
Both tagging and labeling refer to the process of assigning metadata to data. However, the main difference between tagging and labeling is that tagging is generally used for descriptive keywords and labeling for categorical classification. A professional data tagging company offers annotation services that involve both tasks.