Expert Data Annotation Services For Machines By Humans
Accurately annotate your Text, Image, Audio, and Video data to improve your Artificial Intelligence (AI) and Machine Learning (ML) models
Accelerate your AI development with our data annotation expertise..
Data Annotation Solutions: Unmatched Quality, Speed, and Security
For optimum and accurate comprehension of datasets, AI models need to understand in-depth every little object and element part of the dataset. Shaip’s data annotation methodology stems from incredible attention to detail, where minor objects in scans, punctuations in texts, elements in backgrounds, and silences in audio are tagged for the most precision output.
Shaip’s Standout Features
- Gold standard data annotation is ensured in every dataset delivered
- Industry & domain-specific SMEs and veterans deployed to annotate and validate data
- Precision annotation services across image segmentation, object detection, bounding box, sentiment analysis, classification, & more
- Experts to help formulate the project guidelines
You’ve finally found the right Data Annotation Company
Expert Workforce
Our pool of experts who are proficient in data annotation can procure accurately annotated datasets.
Gain most out of AI
Data labeling generates high-quality & ready-to-use datasets which enable AI/ ML Models to generate deeper insights.
Scalability
Being one of the best data annotation companies, our domain experts can handle high volumes while maintaining quality & can scale operations as your business grows.
Focus on growth and innovation
Our team helps you prepare data for training AI engines, saving valuable time & resources. With outsourcing, your team can focus on the development of robust algorithms leaving the tedious part of the job, to us.
Multi-Source/ Cross-Industry capabilities
The team analyzes data from multiple sources & is capable of producing AI-training data efficiently and in volumes across all industries.
Stay ahead of the
competition
The wide gamut of variable data provides AI with copious amounts of information needed to train faster.
Competitive Pricing
As one of the leading data labeling companies, we ensure projects are delivered within your budget with the help of our robust data annotation platform
Eliminate Internal Bias
AI models fail because teams working on data unintentionally introduce bias, skewing the end result and affecting accuracy. However, data annotation vendor does a better annotation job by eliminating assumption & bias.
Better Quality
Domain experts, who annotate day-in & day-out will do a superior job when compared to a team, that needs to accommodate annotation tasks in their busy schedule. Needless to say, it results in better output.
Shaip Data Annotation Services – We Take Pride in Labeling
Text Annotation
We provide cognitive text data annotation services through our patented text annotation tool that is designed to allow organizations to unlock critical information in unstructured text.
- Sentiment analysis
- Summarization
- Classification
- Question answering
- Named-entity recognition
Image Annotation
Supercharge your computer vision ambitions with our bespoke image annotation services. We balance scale and quality so your models generated the most accurate results.
- Object detection
- Classification
- Pose estimation
- OCR annotation
- Segmentation
- Tiled and multilayer imagery
Audio Annotation
By deploying specific linguists for every language requirement, our audio annotation services ensure datasets are labeled to improve conversational AI models.
- Speech recognition
- Speaker recognition
- Sound event detection
- Classification
Video Annotation
We take a frame-by-frame approach in annotating videos, ensuring we include every minute fragment of object featured in footages.
- Object tracking and localization
- Classification
- Instance segmentation and tracking
- Action detection
- Pose estimation
- Lane detection
Why choose Shaip over other Data Annotation Companies
Shaip’s data annotation teams deliver top-quality expertise for organizations of all sizes and industries.
Every industry needs accurate and reliable data.
Shaip offers specialized solutions for multiple sectors and use cases.
Top-notch data annotation from domain experts.
Collaborate with specialists to handle difficult use cases and fulfill your data needs.
Multilingual high-quality training data.
We offer diverse language training data of top quality, tailored to suit a wide array of linguistic needs.
Dedicated and trained teams:
- 30,000+ collaborators for Data Creation, Labeling & QA
- Credentialed Project Management Team
- Experienced Product Development Team
- Talent Pool Sourcing & Onboarding Team
Highest process efficiency is assured with:
- Robust 6 Sigma Stage-Gate Process
- A dedicated team of 6 Sigma black belts – Key process owners & Quality compliance
- Continuous Improvement & Feedback Loop
The patented platform offers benefits:
- Web-based end-to-end platform
- Impeccable Quality
- Faster TAT
- Seamless Delivery
Successful Stories
Named Entity Recognition (NER) Annotation for Clinical NLP
Well-Annotated and Gold Standard clinical text data to train/develop clinical NLP to build next version of Healthcare API.
30k+ Docs web scrapped & annotated for Content Moderation
There’s an increasing demand for AI-powered content moderation
that strive to secure the online space where we connect & communicate.
Recommended Resources
Buyer’s Guide
Buyer’s Guide for Data Annotation and Data Labeling
So, you want to start a new AI/ML initiative and are realizing that finding good data will be one of the more challenging aspects of your operation. The output of your AI/ML model is only as good as the data.
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In-House or Outsourced Data Annotation – Which Gives Better AI Results?
In 2020, 1.7 MB of data was created every second by people. And in the same year, we produced nearly 2.5 quintillion data bytes every day in 2020. Data scientists predict that by 2025.
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TOP 10 Frequently asked questions (FAQs) about Data Labeling
Every ML Engineer wants to develop a reliable & accurate AI model. Data scientists spend nearly 80% of their time labeling & augmenting data. That’s why the model’s performance depends on the quality of the data used to train it.
Featured Clients
Empowering teams to build world-leading AI products.
Need help with data labeling services, one of our experts would be happy to help.
Frequently Asked Questions (FAQ)
Data annotation is the process of categorization, labeling, tagging, or transcribing by adding metadata to a dataset, which makes specific objects recognizable for AI engines. Tagging objects within textual, image, video & audio data, makes it informative and meaningful for ML algorithms to interpret the labeled data, and get trained to solve real-life challenges.
A data annotation tool is a tool that could be deployed on the cloud or on-premise or containerized software solution that is used to annotate large sets of training data i.e., Text, Audio, Image, Video for machine learning.
Data annotators help in categorization, labeling, tagging, or transcribing large datasets used to train machine learning algorithms. Annotators usually work on videos, advertisements, photographs, text documents, speech, etc., and attach a relevant tag to the content so as to make specific objects recognizable for AI engines.
- Text Annotation (Named Entity annotation & Relationship mapping, Key phrase tagging, Text Classification, Intent/Sentiment Analysis, etc.)
- Image Annotation (Image Segmentation, Object Detection, Classification, Keypoint annotation, Bounding Box, 3D, Polygon, etc.)
- Audio Annotation (Speaker Diarization, Audio Labeling, Timestamping, etc.)
- Video Annotation (Frame-by-frame annotation, Motion Tracking, etc.)
Data annotation is the process of adding metadata to a dataset by tagging, categorizing etc.. Based on the use case in hand the expert annotators decides on the annotation technique to be used for the project.
Data Annotation / Data Labeling makes object recognizable by machines. It offers initial setup for training an ML model so as to make it understand and discriminate against different inputs to provide accurate results.