Label Your Data Company Review

1. How to Choose a Dataset Labeling Vendor?
2. Label Your Data Company Overview
3. Label Your Data Services
4. Label Your Data Dataset Types
5. Label Your Data Integrations
6. Label Your Data Annotation Process
7. Label Your Data Quality Assurance (QA)
8. Label Your Data Pricing
9. Label Your Data Security and Data Compliance
   1. How We Prevent Client Data Leaks
10. FAQ

The growing complexity of machine learning models demands highly precise data labeling. Unfortunately, traditional manual labeling methods struggle to keep pace, slowing down the deployment of these models.

At Label Your Data, we understand this challenge. That’s why we offer secure data annotation solutions, leveraging a global network of experts to accelerate your data labeling process. We’ll delve into how our approach aligns perfectly with your project’s needs, ensuring high-quality labels and a faster path to deployment in our first Label Your Data company review.

How to Choose a Dataset Labeling Vendor?

Building machine learning models requires a significant amount of labeled data. There are two main ways to obtain this data:

1. Internal Labeling: Your team manually labels the data in-house.

2. Outsourcing to a vendor: You partner with a specialized company to handle the labeling process.

This guide focuses on the second approach, specifically how to choose the right data labeling vendor for your project. Considering our company for outsourcing complex and time-consuming data labeling tasks? This Label Your Data review will help you decide if we are a match.

Here’s what separates the good from the great:

• Service and products

• Dataset types

• Data annotation tools

• Integrations

• Annotation process

• Quality assurance

• Pricing models

• Security and data compliance

We’ll dive deeper into each factor, highlighting Label Your Data’s strengths to see if they align with your project’s needs.

Label Your Data Company Overview

Label Your Data is a prominent provider of data annotation services established in 2020 as a subsidiary of SupportYourApp. We support the development of machine learning (ML) applications by streamlining the data labeling process for AI companies, data scientists, ML engineers, and AI researchers.

Label Your Data is a reliable data annotation company that helps AI companies grow faster and expedite their development process through high-quality, secure and trusted data annotation services.

Global Reach and Expertise

Our Label Your Data team leverages its global presence across 25 countries and a team exceeding 500 skilled professionals. This includes a core group of 200+ annotation experts situated in Europe, Latina America, and Africa, along with access to a broader network of over 1000 trained annotators worldwide. Our global presence helps us assemble the right skill set for diverse client projects.

Industry Experience

We provide data labeling services across a wide range of industries, including:

• Academia

• Agriculture

• Aviation

• Drones

• E-commerce

• FinTech

• Geospatial

• Healthcare

• Insurance

• Manufacturing

• Retail

• Robotics

Label Your Data Services

We provide comprehensive data annotation services to empower your machine learning initiatives. Our expert team meticulously labels and categorizes data across various formats to fuel the development of robust AI models.

Our Core Services:

• Data labeling for Computer Vision models: Leverage our expertise for image and video annotation tasks, including:

  • Bounding boxes

  • Optical Character Recognition (OCR)

  • Object and action detection

  • Polygons

  • Key points

  • Semantic segmentation

  • 3D cuboids

  • LiDAR annotation

• Data labeling for NLP models: Enhance your NLP models with services like:

  • Text classification

  • Sentiment analysis

  • Named entity recognition (NER)

  • Sentiment tagging

  • Linguistic tagging

  • Audio-to-text transcription

• Quality Assurance (QA): Ensure the integrity of your custom datasets with our rigorous quality check workflows.

• Model validation services: Identify and address performance issues in your object recognition models through our validation services.

• Data collection

• Data entry

• Content moderation

• Data processing

By partnering with us, you gain access to a highly skilled global workforce and a proven methodology for flexible data annotation and labeling services, ensuring the success of your machine learning projects.

Label Your Data Dataset Types

At Label Your Data, we have the expertise and tools to handle a wide range of dataset types and formats to ensure your ML project runs smoothly. Here’s a look at what we can work with:

• Images and Videos: We support common image formats like JPEG, PNG, TIFF, and BMP, as well as video formats like MP4, AVI, and MOV for tasks like image classification, object detection, and video analysis.

• Text Data: We work with various text formats, including TXT, DOCX, PDF, and spreadsheet files (.CSV, .XLS) for tasks like sentiment analysis, text classification, and named entity recognition. For text projects, we can also handle code files where annotations are made directly on the text within the code (e.g., in JSON format).

• Audio Files: We can process audio data in formats like MP3, WAV, and FLAC for tasks like audio transcription and sentiment analysis.

• LiDAR Data: We can handle LiDAR data formats for 3D object detection and scene reconstruction tasks. Primarily, we work with LiDAR data in the PCD format. This is due to our recent switch to a new processing tool. However, we can also accommodate client-provided LiDAR data in JSON format, commonly used for calibration information and configuration files.

• Custom Data Formats: We understand that you may have specific data formats unique to your project. Our team is experienced in working with custom formats and can develop solutions to integrate your data into our labeling workflow.

Label Your Data Integrations

Our data annotation company is currently focused on developing direct integrations with other products to streamline your workflow. In the meantime, we offer customized file exports for your annotated data. You can choose the format that best suits your needs, and we will ensure your dataset is delivered in that format.

Label Your Data Annotation Process

We understand the importance of a streamlined and secure annotation process for your machine learning projects. Here’s how we ensure quality and efficiency throughout our collaboration:

1. Free Pilot:

   • Testing the Fit: Kick things off with a free pilot project. This allows you to experience our annotation workflow firsthand and assess if our services align with your specific needs.

   • Customizable Workflow: You have the flexibility to define the annotation workflow yourself, or our experienced team can help design the optimal approach for your project’s requirements.

2. Transparent Pricing:

   • Cost Calculation after Pilot: Upon completion of the free pilot, you’ll receive a comprehensive cost estimate for annotating the remaining images. This ensures transparency and allows you to make an informed decision based on our actual performance.

3. Data Security:

   • Confidentiality Agreements: We prioritize data security and are committed to safeguarding your information. Signing a non-disclosure agreement (NDA) is a mandatory step before commencing any project. This can be conveniently completed during the free pilot stage.

4. Continuous Delivery and Improvement:

   • Gradual Dataset Delivery: Receive the first batches of annotated datasets promptly, enabling you to initiate the machine learning model training process.

   • Iterative Refinement: With each training iteration, you’ll benefit from an increasingly accurate model as our annotations continue to refine its performance.

This structured approach ensures a collaborative and secure annotation experience for our clients, helping them achieve optimal results for their machine learning projects. Let’s move on with our Label Your Data company review and talk about dataset quality.

Label Your Data Quality Assurance (QA)

At Label Your Data, we deliver consistently high-quality annotations for your ML projects, achieving an industry-leading accuracy benchmark of 98%. We achieve this through robust quality control procedures.

Our meticulous QA process is as follows:

1. Project Requirements

   The process begins by comprehensively gathering all data annotation instructions. This includes requirements for future machine learning training, along with clear examples we utilize as benchmarks throughout the project.

2. Comprehensive Annotator Training

   To ensure final labels meet your expectations and require minimal revisions, we train all annotators involved in your project. This equips them with in-depth instructions on the specific labeling criteria for your unique dataset.

3. Pilot Project

   A small portion of your project is annotated as a pilot test. This allows us to rigorously assess quality against the initial instructions. Once approved by you, and demonstrating high data quality, we proceed with annotating the entire dataset.

Advanced QA Techniques

Beyond the core process, we offer additional QA techniques to further enhance consistency and accuracy:

• Cross-reference QA: This method ensures consistency by having multiple annotators work on a subset of data. Their annotations are then compared and verified, fostering consensus, particularly when dealing with subjective labeling tasks. This approach is particularly valuable for projects involving text and map datasets.

• Random Sampling: For smaller projects, we employ random sampling. This involves selecting labels at random and verifying they adhere to project requirements. This serves as an additional layer of quality control.

For large datasets, we advocate for dividing them into smaller milestones and tasks. Quality control is then performed after each task completion, not just at project's end. This proactive approach minimizes the need for extensive corrections later and ensures the entire team stays on track.

Label Your Data Pricing

We at Label Your Data understand that every project has unique requirements. To ensure a perfect fit, we offer flexible pricing models and zero commitment options:

• On-Demand: Ideal for occasional projects with unpredictable data flow. This option is perfect when you have data batches to be labeled at irregular intervals.

• Short-Term: This option is designed for one-time projects where you have already compiled all the unlabeled data that needs annotation.

• Long-Term: For ongoing projects with a steady stream of unlabeled data, our long-term partnership model offers a cost-effective solution. You can choose the frequency of data delivery, whether it’s daily, weekly, or monthly.

In addition to this Label Your Data company review, you can calculate your cost estimates here.

Label Your Data Security and Data Compliance

At Label Your Data, we understand that entrusting your data to a third party requires complete confidence in its security. That’s why we prioritize robust data protection measures to provide trusted data annotation services, adhering to the industry’s most stringent standards:

• PCI/DSS (Payment Card Industry Data Security Standard): We are PCI DSS Level 1 compliant, signifying the highest level of security for handling payment card data. This ensures rigorous controls over cardholder information, safeguarding it from unauthorized access, use, disclosure, or alteration.

• ISO/IEC 27001:2013: Our Information Security Management System (ISMS) is certified to ISO/IEC 27001:2013. This internationally recognized standard ensures a comprehensive approach to information security, covering aspects like access control, risk management, and incident response.

• GDPR (General Data Protection Regulation): For projects involving data from European Union residents, we comply with the GDPR. This regulation mandates robust privacy protections for personal data, including transparency about data collection and usage, and clear procedures for user rights like access and erasure.

• CCPA (California Consumer Privacy Act): If your project involves data from California residents, we adhere to the CCPA. This legislation grants California consumers specific rights regarding their personal information, including the right to know what information is collected, used, or disclosed, and the right to opt-out of the sale of their personal data.

• HIPAA (Health Insurance Portability and Accountability Act): For projects involving healthcare data, we are committed to HIPAA compliance. HIPAA safeguards the privacy and security of protected health information (PHI). We implement appropriate safeguards to ensure the confidentiality, integrity, and availability of PHI.

Besides, our dedication to data security is reflected in industry recognition. Being named among the Top 50 Data Entry Companies in 2020 and a leading 2021 BPO firm by Clutch underscores our commitment to excellence and client satisfaction.

How We Prevent Client Data Leaks

Our commitment extends beyond just meeting compliance standards. We invest in secure software development practices and maintain complete control over our servers to minimize the risk of data leaks. We believe your data deserves the utmost protection, and we continuously evaluate and strengthen our security posture to ensure your trust.

Beyond maintaining compliance with industry regulations, we safeguard your data through a multi-layered security approach:

• Rigorous Team Screening: All annotators undergo background checks and sign NDAs, ensuring employee accountability.

• Secure Workspace: We provide dedicated workspaces with restricted access, video surveillance, and secure device protocols to minimize data exposure.

• Robust Infrastructure: Our secure labeling tools offer encryption and access controls to protect sensitive information.

• Continuous Training: We prioritize security awareness through comprehensive training programs on data privacy and best practices.

This comprehensive approach minimizes risks associated with client data leaks and empowers you to focus on your core business objectives.

Boost your ML model with a secure data annotation partner.

Run your free pilot!

FAQ

by Yuliia Kniazieva
on May 16, 2024. Share on LinkedIn Post on Twitter