Human Powered Data Annotation & Data Labeling Services
Accurately annotate your Text, Image, Audio, and Video data to improve your Artificial Intelligence (AI) and Machine Learning (ML) models
Custom Data Annotation Solutions to train AI / ML algorithms
AI feeds on copious amounts of data and leverages machine learning (ML), deep learning (DL) and natural language processing (NLP) to continually learn and evolve. Shaip’s data annotation tool makes data with specific objects recognizable for AI engines. Tagging objects within textual, image, scans, etc. enable algorithms to interpret the labeled data and get trained to solve real business cases.
The task of labeling data and annotation must meet two essential parameters: quality and accuracy. After all, this is the data that both validate and train the AI and ML models your team is developing. Now AI and ML can not only think faster, but smarter. It’s the required data to the power that thinking as well as validate your model outcomes.
We are one of the very few data labeling companies that have capability and experience that is second to none
- Well-annotated and gold standard data from credentialed annotators
- Domain experts across industry verticals for annotation i.e. licensed healthcare professionals to execute medical annotation tasks
- Experts to help formulate the project guidelines
- Annotation: Image segmentation, object detection, classification, bounding box, audio, NER, sentiment analysis
Leverage next-gen cognitive data labeling services to acquire readily available quality data to train AI/ML algorithms, developed by our pool of data annotation experts, to accelerate deep learning.
You’ve finally found the right Data Annotation Company
Expert Workforce
Our pool of experts who are proficient in data annotation and labeling can procure accurate and effectively 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
Our team of collaborators can accommodate additional volume while maintaining the quality of data output.
Focus on growth and innovation
Our team helps you prepare data for training AI engines, saving valuable time & resources. This allows you to focus on holistic growth.
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 experts in tech, training, & managing teams, we ensure projects are delivered within budget with the help of our robust data annotation tool
Enhanced Data
Security
Enhanced data security ensures data formats are policy controlled and preserved.
Availability &
Delivery
Our next-gen data labeling tool offers high network up-time & on-time delivery of data, services & solutions.
Best AI Data Annotation / Labeling Services
Text Annotation
General Text Annotation
We provide cognitive text annotation and labeling services through our patented text annotation tool that is designed to allow organizations to unlock critical information in unstructured text. Annotating the text available helps machines to understand the human language. With rich experience in natural language and linguistics, we are well equipped to handle text annotation projects of any scale. Our qualified team can work on different text annotation services like named entity recognition, intent analysis, sentiment analysis, etc.
Medical Text Annotation
80% of data in the healthcare domain is unstructured, making it inaccessible to traditional analytics solutions. Without manual intervention, it limits the quantity of usable data and its impact on an organization’s decision making. Understanding text in the healthcare domain requires a deep understanding of healthcare terminology to unlock its potential. We provide domain experts to help you label & annotate your medical data to improve AI engines.
The unstructured data can include physician notes, discharge summaries, and pathology reports, using natural language processing to deliver domain-specific insights about information, such as symptoms, disease, allergies, and medication, to help drive insights for care.
- Easily scale as required – pay-as-you-grow business model
- The platform is designed to annotate with PHI in mind
- Extraction of concepts from any source of unstructured text in de-identified medical records
- Highly customizable annotation platform, providing the ability to tailor the labels to distinct healthcare use casese
Image Annotation
General Image Annotation
- Image annotation is the process of associating section of an image or the entire image, with an identifier label. With our image annotation tool and proprietary platform, we can annotate images through various techniques i.e. bounding boxes, 3D cuboids, semantic segmentation, pixel-wise segmentation, polygons, image classification, and more to create training data sets for machine learning models to enhance your AI engines.
- AI-enabled systems with human annotators, enhances the effectiveness to automate the most repetitive activities that are prone to errors. We can easily scale to 1000s of annotators to manage any size of project.
Medical Image Annotation
At Shaip, we understand how critical medical imagery is to healthcare. From detecting anomalies and tumors that could go unnoticed to the human eye to studying carcinogens and diseases, medical image annotation requires complete mastery over skills and airtight industry expertise. Our in-house team of experts rightly fit the bill as they can manually annotate medical image data with their hands-on industry expertise. Our team can work on diverse image-based datasets such as X-Rays, CT Scans, MRIs, and more.
- AI-backed machines use computer vision to detect patterns and correlate the same with medical imaging data to identify possible diseases and prepare reports after analysis.
- X-Ray, CT Scan, MRI, and other image-based test reports can be easily screened to predict various ailments.
- Our Healthcare trained workforce helps label images using a series of manual processes and high-end image classification technology to offer a faster scale healthcare annotation to build your models.
Audio Annotation
Audio annotation services have been a forte of Shaip since the beginning. Develop, train & improve conversational AI, chatbots and speech recognition engines with our state-of-the-art audio annotation services. Our network of qualified linguists across the globe with an experienced project management team can collect hours of multilingual audio and annotate large volumes of data to train voice-enabled applications. We also transcribe audio files to extract meaningful insights available in audio formats.
Video Annotation
Capture each object in the video, frame-by-frame, and annotate it to make the moving objects recognizable by machines with our advance video annotation tool. We have the technology and the experience to offer video annotation services that help you with comprehensively labeled datasets for all your video annotation needs. We help you build your computer vision models accurately and with the desired level of accuracy.
Reasons to choose Shaip as your trustworthy Data Labeling Partner
People
Dedicated and trained teams:
- 7000+ collaborators for Data Creation, Labeling & QA
- Credentialed Project Management Team
- Experienced Product Development Team
- Talent Pool Sourcing & Onboarding Team
Process
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
Platform
The patented platform offers benefits:
- Web-based end-to-end platform
- Impeccable Quality
- Faster TAT
- Seamless Delivery
Why you should Outsource Data Annotation / Data Labeling
Dedicate Team
It is estimated that data scientists spend over 80% of their time in data cleaning and data preparation. With outsourcing, your team of data scientists can focus on continuing the development of robust algorithms leaving the tedious part of the job, to us.
Scalability
Even an average Machine Learning (ML) model would require labeling large chunks of data, which requires companies to pull in resources from other teams. With data annotation consultants like us, we offer domain experts who dedicatedly work on your projects and can easily scale operations as your business grows.
Better Quality
Dedicated domain experts, who annotate day-in and day-out will – any day – do a superior job when compared to a team, that needs to accommodate annotation tasks in their busy schedules. Needless to say, it results in better output.
Eliminate Internal Bias
The reason why AI models fail, is because teams working on data collection and annotation unintentionally introduce bias, skewing the end result and affecting accuracy. However, the data annotation vendor does a better job at annotating the data for improved accuracy by eliminating assumptions and bias.
Use Cases
Goal: Develop AI models in healthcare to improve patient care.
Challenge: De-identification and annotation of clinical documents that can be used for Named Entity Recognition and develop AI models.
Our Contribution: Delivered 30,000+ de-identified clinical documents adhering to Safe Harbor Guidelines. These clinical documents were annotated with 9 clinical entity types and 4 relationships.
End Result: Client leveraged gold standard well-annotated data in training AI models.
Goal: Develop and train Artificial Intelligence (AI) / Machine Learning (ML) algorithms to be used for the insurance industry.
Challenge: Annotation of 10,000+ insurance forms with up to 10 entity tags perform.
Our Contribution: Bifurcated the set of documents into hazardous insurance vs general insurance vs non-insurance and annotated as per the guidelines using the onshore staff.
End Result: AI models were developed which can be used for solving last-mile problems in insurance.
Goal: Train the Artificial Intelligence (AI) / Machine Learning (ML) tool to auto-tag the objects in the video files and make the databases searchable.
Challenge: Determine qualifiable video scenes and tag objects present in it (up to 10 objects per scene).
Our Contribution: Tagged 6,000+ qualifiable scenes of 500+ video files based on the customer guidelines.
End Result: Developed automatic video tagging and recognition application capable to extract & tag the objects present in video scenes.
Recommended Resources
Buyer’s Guide
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Featured Clients
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Talk to an Expert
Need help with data annotation services/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.
