Dataset FAQs
What types of datasets can you provide?
We provide various types of datasets to meet the needs of different fields and industries, including but not limited to: image datasets,video datasets,audio datasets,3D model datasets,text datasets,code datasets,reasoning datasets,etc.
Updated: 2025-08-25
How do you ensure the accuracy and quality of your datasets?
We follow a multi-layered quality assurance process to deliver highly accurate and reliable datasets. Our workflows combine expert annotators, domain-specific training, and rigorous QA checks such as cross-validation, consensus labeling, and automated error detection. Every dataset goes through multi-stage review cycles to minimize bias and maximize consistency. In addition, we implement custom quality metrics aligned with client requirements, ensuring that the final data meets enterprise-grade standards for AI training, testing, and deployment.
Updated: 2025-08-25
What data cleaning or validation processes do you have in place?
We apply automated data cleaning, deduplication, and error detection tools, followed by human validation and multi-stage reviews. This ensures datasets are free of noise, consistent, and fully aligned with project requirements.
Updated: 2025-08-25
Do you offer custom datasets tailored to our specific industry ?
Yes. We specialize in building custom datasets for industries such as STEM research, Finance, and Coding, as well as licensed high-quality images and videos. Our team of expert annotators and domain specialists ensures the data is precisely tailored to your industry’s needs, supporting accurate AI training and deployment.
Updated: 2025-08-25
What formats are the datasets available in (e.g., CSV, JSON, Parquet)?
Our datasets are available in any format you need, including CSV, JSON, Parquet, and more. We can easily convert data into the format best suited for your AI or machine learning pipeline, ensuring seamless integration with your workflows.
Updated: 2025-08-25
What technical support do you provide after purchase?
We provide ongoing technical support to ensure seamless dataset integration and long-term success. Our team offers lifetime assistance, from troubleshooting to customization, because we value building lasting partnerships with our clients.
Updated: 2025-08-25
How do you ensure the security of datasets during transmission and storage?
We use secure cloud storage with encryption to protect all datasets during transmission and at rest. For clients with higher security needs, we also support private deployment of our data annotation tools to ensure complete control and compliance.
Updated: 2025-08-25
MooreData Platform FAQs
Why choose you platform for data annotation?
Updated: 2025-08-25
What are the characteristics of your platform?
Our platform offers three core strengths:
- Flexible Deployment: Supports public cloud, on-premise, and hybrid setups. Caters to healthcare, embodied intelligence, autonomous driving—aligning with localization, compliance, and resource needs.
- MultiModal Annotation: Covers text, image, audio, video. Supports object detection, semantic segmentation, sentiment analysis for CV, NLP, and cross-modal scenarios.
- AI-Powered Auto-Labeling: Uses pre-trained models for auto-prelabeling. Human-AI collaboration refines logic, cutting manual work by 60%+ and accelerating projects.
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What are the advantages of your platform compared to competitors?
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Does your platform have any restrictions on task complexity?
No. Our platform is built to handle tasks of any complexity, and we continuously customize our tooling—often weekly—to meet evolving client needs and keep pace with rapid AI advancements.
Updated: 2025-08-25
How flexible is your labeling platform?
We offer a comprehensive and easy-to-use annotation tool suite suitable for both technical and non-technical team members. This suite addresses diverse annotation scenarios, covering the entire workflow from basic classification to complex annotation. The platform is compatible with various formats, including RLHF, multimodal text, audio, video, documents, and custom HTML templates.
Updated: 2025-08-25
Get the User Guide
You can refer to this document: Documentation
Updated: 2025-08-25
How secure is your data with MooreData Platform?
Your data is protected with enterprise-grade security, including end-to-end encryption, secure cloud storage, and role-based access controls. For maximum protection, we also offer private on-premise deployment, ensuring your datasets remain fully compliant and under your control.
Updated: 2025-08-25
Data Annotation FAQs
What is your service process?
Our process includes free quotation → pilot project → full-scale production. Behind the scenes, we apply our unique “secret sauce” quality assurance methods—a mix of expert workflows, validation, and tooling customization—to guarantee accurate, high-quality datasets every time.
Updated: 2025-08-25
What cases have you labeled?
We have experience labeling almost every type of dataset, from STEM, Finance, and Coding to medical, retail, autonomous driving, and licensed image/video data. Our broad expertise allows us to support diverse industries and complex AI applications.
Updated: 2025-08-25
What's the workflow for data annotation?
Our workflow follows a streamlined pipeline: data intake → annotation by trained experts → multi-layer quality checks → client feedback → final delivery. This process ensures accuracy, consistency, and scalability for all AI and machine learning projects.
Updated: 2025-08-25
What types of data can your annotation service handle?
Our annotation service covers a full range of data types, including: Text, Agent GUI, Audio, Video, Image, 3D Point Cloud, 4D.
Updated: 2025-08-25
How do you ensure and verify the quality of annotations?
We start with a rigorous selection and training process to onboard only top-tier annotators. Every project then goes through multi-stage reviews, cross-validation, and client-specific QA metrics to ensure accuracy, consistency, and reliability.
Updated: 2025-08-25
Can you handle custom annotation requirements?
Yes. We specialize in custom annotation workflows tailored to unique client needs, from STEM and Finance data to complex coding tasks and licensed image/video annotation. Our flexible tooling and expert team ensure precise, project-specific results.
Updated: 2025-08-25
Introduce the background of your annotation team.
Our team is a blend of skilled generalists and domain experts, including STEM specialists, Finance professionals, and software experts. We also work with IMO and ACM medalists as well as advanced tool specialists (e.g., Photoshop), ensuring world-class accuracy for complex annotation tasks.
Updated: 2025-08-25
Is it possible to work with a consistent team of labelers?
Yes. We provide a dedicated and consistent labeling team for your projects, ensuring continuity, domain expertise, and higher data quality throughout the engagement.
Updated: 2025-08-25
Do you support real-time labeling tasks?
Yes. Our platform supports real-time labeling and rapid turnaround, enabling quick data processing for time-sensitive AI and machine learning applications.
Updated: 2025-08-25
How are labelers vetted?
All labelers go through a rigorous screening and training process, including skill assessments, domain-specific tests, and continuous performance monitoring. Only top-performing annotators are assigned to client projects, ensuring accuracy and reliability.
Updated: 2025-08-25
What's the typical accuracy rate of your data annotation?
Our annotation projects consistently achieve over 95% accuracy, with many reaching 99%+ through multi-layer quality checks, expert review, and client-specific validation metrics.
Updated: 2025-08-25
How long does it usually take from submitting data to receiving the annotated results?
Turnaround time depends on task complexity and dataset size, but we can deliver results in as fast as 12 to 24 hours for urgent projects, while maintaining high accuracy and quality.
Updated: 2025-08-25
How do you protect the privacy and security of our raw data during the annotation process?
We safeguard your data with end-to-end encryption, secure cloud infrastructure, and strict access controls. For added protection, we also offer private/on-premise deployment and adhere to global compliance standards to ensure full data privacy and security.
Updated: 2025-08-25
Does your annotation team have experience in specific industries
Yes. Our team has rich experience across key sectors, including LLM, agentic GUI, healthcare, autonomous driving, finance, and retail.
Updated: 2025-08-25
If we find issues with the annotated results, what's your revision and feedback process?
We provide a collaborative revision cycle, where client feedback is quickly reviewed, corrected, and revalidated by our QA team. This ensures continuous improvement and guarantees that final annotations meet your exact requirements.
Updated: 2025-08-25
Common FAQs
What services does Abaka provide?
Abaka AI offers core services including: high-quality Off-The-Shelf datasets, data cleaning, data collection, data annotation, model evaluation and self-developed data annotation tools.
Updated: 2025-08-25
How to contact you
Click here https://www.abaka.ai/contact
Updated: 2025-08-25
What quality assurance measures do you employ?
We use multi-layer QA checks, including cross-validation, consensus labeling, and expert reviews, to ensure accuracy and consistency. When time allows, we also provide ablation studies to benchmark and further validate dataset quality.
Updated: 2025-08-25
What languages are supported?
We support all languages.
Updated: 2025-08-25