Accurately annotate your Text, Image, Audio, and Video data to improve your AI and ML models
Shaip Data Annotation/Labeling Service
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.
Data Annotation/Labeling Capabilities
- 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 AI data annotation experts, and accelerate deep learning.
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.
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.
As experts in training, & managing teams, we ensure projects are delivered within budget.
Enhanced data security ensures data formats are policy controlled and preserved.
High network up-time & on-time delivery of data, services & solutions.
General Text Annotation
We provide cognitive text annotation and labeling services 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 projects like named entity recognition, intent analysis, sentiment analysis, etc.
Medical Text Annotation
80% of data in 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
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
- 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 has been a forte of Shaip since the beginning. Develop, train & improve conversational AI and Chatbots 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.
Capture each object in the video, frame-by-frame, and annotate it to make the moving objects recognizable by machines. We have the experience and the technology to help you with comprehensively labeled datasets for all your video annotation needs.
Dedicated and trained teams:
- 7000+ 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
Empowering teams to build world-leading AI products.
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.)