Let’s Corporate to Get High-quality AI Data Annotation Projects!
LTS GDS delivers high-precision data annotation across industries, empowering AI models to learn faster, predict smarter, and perform with greater accuracy.
Trusted by Industry Leaders Worldwide
Diverse Data Types for Annotation
No matter the data type, our team provides accurate annotations tailored to your ML goals.
- Bounding Box
- Polygon
- Polyline & Spline
- 3D Cuboid
- Semantic Segmentation
- Instance Segmentation
- Panoptic Segmentation
- Landmark
- LiDAR Point Cloud
- Speech Recognition
- Sentiment Analysis
- Audio-To-Text Transcription
- Event and Sound Classification
- Text Classification
- Sentiment Analysis
- Question Answering
- Named Entity Recognition
- Audio-To-Text Transcription
- Prompt Generation
- Prompt Verification
- Answer Generation
- Answer Verification
- Dialogue Generation
- Dialogue Evaluation
- Event Recognition
- Time Series Classification
- Time Series Segmentation
- Image Captioning
- Transcription
- Action Recognition
Our Data Annotation Services Workflow
Our quality-first workflow that delivers high-accuracy annotations at scale.
Dedicated project manager from LTS GDS conducts a comprehensive assessment to understand your business specific needs and project requirements. We analyze your data types, annotation specifications, quality standards, timeline, and deliverable expectations. Based on this analysis, we propose tailored AI data annotation solutions and provide expert consultation before project initiation.
Our vetted engineers kick off a pilot project using your sample dataset to demonstrate our capabilities and validate our approach. Our data annotators complete this small-scale test, allowing businesses to evaluate our work quality and methodology. Following delivery, our team leader collects your feedback to refine project specifications and finalize the Service Level Agreement (SLA) and contract terms.
Our project manager and HR department carefully select team members based on project's timeline, scope, and specific requirements. We then conduct comprehensive training sessions led by battle-hardened team leaders to ensure all annotators understand the guidelines, quality standards, and project objectives before beginning work.
Clear communication protocols between both parties are established, including regular check-in schedules, reporting procedures, and escalation processes. Both teams are involved in creating a detailed project timeline and implementing tracking systems that will be used consistently across all delivery teams throughout the project lifecycle.
Our annotation team executes the project according to the agreed plan while monitoring progress and key performance metrics. The dedicated project manager from LTS GDS maintains backup solutions for unexpected challenges and provides regular progress reports to keep businesses informed and enable timely adjustments when needed.
All annotated datasets undergo strict multi-stage quality assurance processes before delivery. Upon project completion, we conduct feedback sessions to gather insights and testimonials, helping us improve our services for future projects.
Why LTS GDS for Your AI Data Annotation Projects?
Trusted by global tech leaders for our skilled teams, flexible pricing, and enterprise-grade quality.
Quality-first Strategies
We prioritize quality, as reflected in our 99% accuracy, prestigious awards, strict four-step review process, and DEKRA's Certificate of Conformity for Data Labeling.
Security Standards
We safeguard your data confidentiality by signing a Non-Disclosure Agreement (NDA) and enforcing stringent security measures in full compliance with ISO 27001 and GDPR standards.
Dedicated Teams
We assemble dedicated, multi-tier teams by blending experienced leaders with a well-trained team, ensuring efficient management, scalability, and adaptability to business needs.
Cost-effectiveness
Take advantage of competitive labor costs, favorable tax policies, and flexible pricing models to optimize overseas IT outsourcing projects and meet diverse client requirements.
Wall of Achievement
99%
Accuracy
5M+
Data Units
11
Countries
200+
Projects
Our Case Studies
Explore real-world success stories where our data annotation services powered innovative AI solutions across industries.
Our Tools and Technologies
Powered by advanced tools and secure platforms to deliver speed, accuracy, and full transparency.
FAQs about Data Annotation Services for AI/ ML Models
What is data annotation?
Data annotation is the process of labeling various data types such as text, images, audio, or video to enable AI models to comprehend and learn from them. It's a crucial step in training AI and machine learning models to recognize patterns, make predictions, and automate decision-making.
Why is data annotation important for AI and machine learning?
High-quality annotated data is fundamental to the accuracy and reliability of AI systems. Without properly labeled data, machine learning algorithms cannot learn effectively, which can result in poor model performance and inaccurate outputs.
What types of data can be annotated?
We offer annotation services for diverse data types, including image, text, audio, video, time series, code, and multimodal annotation, etc.
What is the difference between manual and automated annotation?
Manual annotation is performed by trained experts and delivers higher accuracy often up to 99%, making it ideal for projects that demand precision and quality. Automated annotation is faster but less reliable for complex tasks, often requiring human review.
How do you ensure annotation quality and accuracy?
We ensure annotation quality and accuracy through multi-layered quality control mechanisms. These include a comprehensive QA process (self-check, cross-review, vertical review, and final random inspection), extensive annotation guidelines and training, and regular audits and performance tracking.
Awards & Certifications
Ready to Elevate Your AI Models?
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