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. Precise annotations are essential to ensure model accuracy, as they help reduce errors and improve the performance of AI models. Accurate labeling is especially important for computer vision projects, where pixel-level precision is required to create high-quality training data. Shaip’s robust annotation platforms are designed to support enterprise and industrial use cases, offering security, scalability, and suitability for complex computer vision applications. The platforms provide automation features to speed up the annotation process and enhance productivity. Additionally, Shaip supports various annotation types, including bounding boxes, polygons, and semantic segmentation, to accommodate different data types and project requirements. 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 precision.
Shaip’s Standout Features
- Gold standard annotation is ensured in every dataset delivered
- Experts to help formulate the project guidelines
- Precision annotation services across image segmentation, object detection, bounding box, sentiment analysis, classification, & more
- Industry & domain-specific SMEs and veterans deployed to annotate and validate data
- Human intelligence drives annotation accuracy and reliability
- Ability to deliver annotations across generative AI, computer vision, content moderation, NLP, and more
- High quality training data provided for AI and ML models
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. AI data annotation involves labeling and categorizing text data to train AI and machine learning models. Our team has deep expertise in providing high-quality AI data for various industries and AI projects. Accurate data label creation is essential for natural language processing and AI applications, ensuring reliable model performance. Text annotation is also crucial for training large language models and other advanced AI systems. 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 generate the most accurate results with our image annotation services. Our services support a wide range of computer vision tasks, such as semantic segmentation and object detection, ensuring your data is ready for advanced AI apps. The annotated image data we provide is essential for training machine learning models in various applications, from autonomous driving to facial recognition. 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.
- Image Classification
- Object detection
- 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. We also offer expert audio transcription services, converting audio data into accurate text formats using advanced tools. Our comprehensive data processing capabilities prepare audio data for AI and machine learning applications, including generative AI, computer vision, and NLP.
- Speech Transcription
- Speech recognition
- Speaker recognition
- Sound event detection
- Language and Dialect Identification
Video Annotation
We use a frame-by-frame approach to annotate videos, ensuring that even the smallest details of objects in the footage are accurately labeled. This process is known as video labeling. Our video annotation services support large-scale AI projects across various industries, providing scalable solutions for complex data needs. High-quality training data generated from our video annotation is essential for training machine learning models and improving their accuracy.
- 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. Our company is committed to data security when handling and annotating sensitive LiDAR data, ensuring client confidentiality and protection of sensitive information. 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 annotation is important because it ensures high-quality data, which is essential for accurate AI and machine learning outcomes.
- 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 vendor based on project needs, and consider advanced annotation platforms that offer robust features for security, scalability, and support for computer vision apps.
- 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. With proven industry expertise, we provide tailored annotation solutions that address sector-specific requirements. Our teams are also equipped to efficiently handle large data volumes, ensuring accurate and scalable results for every client.
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 scraped & 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.
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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)
1. What is data annotation, and why is it important?
Data annotation is the process of labeling or tagging datasets such as text, images, audio, or video to make them understandable for machine learning (ML) models. It is crucial because AI systems need annotated datasets to recognize patterns, learn, and make accurate predictions.
2. What are the main types of data annotation?
The main types are text, image, audio, video, and lidar annotation. Each type helps train AI for specific tasks like object detection, speech recognition, or 3D mapping.
3. How does data annotation help AI models?
Annotation helps AI understand raw data by adding labels or tags. This allows the model to learn patterns and deliver accurate results in real-world tasks.
4. How do you ensure high-quality annotation?
We use experienced annotators, follow strict guidelines, and run multiple quality checks to ensure accurate results.
5. Can you annotate sensitive data like medical or financial information?
Yes, we specialize in annotating sensitive data, including medical records and financial documents, while ensuring strict compliance with regulatory standards.
6. Can I customize the annotation process for my project?
Absolutely! We work with clients to customize annotation guidelines, ensuring the datasets meet your specific use case and industry requirements.
7. Why should I outsource data annotation?
Outsourcing saves time, resources, and ensures accuracy by leveraging experienced annotators, domain experts, and advanced tools. Companies like Shaip provide scalable, cost-effective solutions with guaranteed quality.
8. What file formats do you support for annotated data?
We support a range of formats including JSON, XML, CSV, and more. Let us know your requirements, and we’ll deliver the data in your preferred format.
9. How much does data annotation cost?
Costs depend on factors like the type of data, volume, complexity, and the level of customization. Contact Shaip for a tailored quote based on your project needs.
10. Is my data secure during the annotation process?
Yes, data security is a top priority. Shaip uses encryption, access controls, and complies with regulations like GDPR and HIPAA to safeguard your data.
11. How long does it take to complete a project?
Timelines depend on your project’s size and complexity, but Shaip ensures timely delivery without compromising quality.