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 AI development with our data annotation expertise..
Data Annotation Solutions: Unmatched Quality, Speed, & Security
For optimum and accurate comprehension of datasets, AI models need to understand in-depth, every little object and element parts 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 precisely.
Shaip’s Standout Features
- Gold standard 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
Shaip Data Annotation Services – We Take Pride in Data Labeling
Text Annotation
We provide cognitive text data annotation services (or text labeling services) through our patented text annotation tool that is designed to allow organizations to unlock critical information in unstructured text. We offer comprehensive text annotation services, including named entity recognition (NER) to identify key information, sentiment analysis to understand customer opinions, text classification to categorize documents, and intent recognition for chatbot development.
- Sentiment analysis
- Summarization
- Classification
- Question answering
- Named-entity recognition
Image Annotation
Also known as image labeling, we balance scale and quality so your models generated the most accurate results with our image annotation services. We cover a wide range of techniques, including bounding box annotation for object detection, semantic segmentation for pixel-level accuracy, polygon annotation for irregular shapes, and keypoint annotation for pose estimation.
- Object detection
- Image Classification
- Pose estimation
- OCR annotation
- Segmentation
- Facial Recognition
Audio Annotation
By deploying specific linguists for every language requirement, our audio annotation services ensure datasets are labeled to improve conversational AI models, it is also known as audio labeling.
- Speech Transcription
- Speech recognition
- Speaker recognition
- Sound event detection
- Language and Dialect Identification
Video Annotation
We take a frame-by-frame approach in annotating videos, ensuring we include every minute fragment of object featured in footages, it is also known as video labeling.
- Object tracking and localization
- Classification
- Instance segmentation and tracking
- Action detection
- Pose estimation
- Lane detection
Lidar Annotation
Also known as LiDAR labeling it is the process of annotating and organizing 3D point cloud data collected from LiDAR sensors. This crucial step enables machines to interpret spatial data for a range of applications. In autonomous driving, it helps vehicles detect objects and navigate securely. In urban development, it assists in generating precise 3D maps of cities. For environmental monitoring, it supports the analysis of forest structures and terrain changes. Additionally, it plays a key role in robotics, augmented reality, and construction, providing accurate measurements and object identification.
You’ve finally found the right Data Annotation Company
Expert Workforce
Our pool of experts are proficient in data annotation can accurately annotate datasets.
Scalability
Our domain experts can handle high volumes while maintaining quality & can scale operations as your business grows.
Growth & Innovation
We prepare the data, saving time & resources to focus on the development of algorithms leaving the tedious part of the job, to us.
Competitive Pricing
As one of the leading data labeling companies, we ensure projects are delivered within your budget with our robust data annotation platform
Eliminate Bias
AI models fail because teams working on data unintentionally introduce bias, skewing the end result and affecting accuracy.
Better Quality
Domain experts, who annotate day-in & day-out do a superior job compared to an in-house team
Steps to ensure accurate Data Labeling
- Data Collection: Gather relevant data like images, videos, audio, or text.
- Preprocessing: Standardize data by deskewing images, formatting text, or transcribing videos.
- Tool Selection: Choose the right annotation tool or vendor based on project needs.
- Annotation Guidelines: Set clear instructions for consistent labeling.
- Annotation & QA: Label the data, ensuring accuracy through quality checks.
- Export: Export the annotated data in the required format for further use.
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 & 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
30K+ docs web scrapped & annotated for Content Moderation
To build automated content moderation ML Model bifurcated into Toxic, Mature, or Sexually Explicit categories.
Other Industries
Healthcare
Our high-quality medical image annotation helps improve diagnostic accuracy by training AI models to identify subtle anomalies often missed by the human eye. This leads to earlier diagnoses and better patient outcomes.
Finance
Accurate data annotation is crucial for fraud detection. We train AI models to recognize patterns indicative of fraudulent activities, saving financial institutions millions in losses.
Retail
Improve product search relevance and customer experience with our precise image annotation services. We tag products with detailed attributes, enabling AI search engines to deliver highly relevant results, increasing conversions.
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.
Labeling is the simple act of tagging data. Annotation is broader, encompassing labeling and adding more complex metadata for richer context. Labeling is part of annotation.
Shaip uses encryption, access control, secure storage, audits, and complies with industry standards to protect your data. (Contact us for details).