AI Data Solutions
Image, Video, + Sensor
Data Annotation
High-Quality Training Data to Scale AI Model Development
Power Leading AI Model Development with
High-Quality Annotated Training Data.
Trust Innodata's subject matter experts to deliver accurate, reliable, and domain-specific image, video, and sensor data annotation, supporting use cases from search relevance and autonomous vehicles to content moderation and beyond.
Classifications
Tags classify images, areas, items, or attributes to train machine learning models. Ideal for search, recommendation engines, and discovery platforms.
Bounding Box
Rectangles drawn around objects to define coordinates. Ideal for object detection, damage assessment, and anomaly detection in retail and manufacturing.
Polygon
Pixel-perfect outlines for objects, enabling precise detection and image segmentation. Ideal for recommendation engines and composite object analysis.
Lines + Splines
Used to define slopes, edges, and trajectories, training lane detection and interpolation systems.
Facial Recognition
Keypoints and tracking tools enhance facial identification. Ideal for security, driver safety, and emotional intelligence.
Point Cloud
3D cuboid annotations from LiDAR and 2D data. Ideal for autonomous vehicles, manufacturing, and agriculture.
Keypoint
Points map object poses and movements. Ideal for sports analysis, robotics, and AR/VR applications.
3D Cuboid
3D representation of objects that defines their height, width, and depth in sensor data. Ideal for manufacturing automation, logistics, and AR/VR.
Our Data Annotation Process.
Our data annotation process is designed to deliver accurate, high-quality datasets tailored to your AI model training needs.
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Taxonomy CreationWe define a clear and precise structure to effectively organize and categorize your data.
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Guidline DevelopmentDetailed guidelines are crafted to ensure consistency and accuracy across annotations.
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Pilot Execution + DeliveryA potential pilot run validates the approach and aligns outputs with your project goals.
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Project KickoffThe project officially launches with dedicated team members and defined milestones.
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Single/Multi-Pass AnnotationData is annotated with one or multiple review passes to meet quality standards.
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Quality Testing + AnalysisTesting and analysis can be performed to guarantee the reliability and accuracy of the final dataset(s).
With our high-quality data labeling approach, you can trust Innodata’s annotated data to drive impactful and reliable AI/ML training.
Use Cases.
Why Choose Innodata for Data Annotation?
Bringing world-class data labeling services, backed by our proven history and reputation.
Global Delivery Locations +
Language Capabilities
85+ languages and dialects supported by 20+ global delivery locations, ensuring comprehensive language coverage for your projects.
High-Quality Annotated Data for Advanced Use Cases
95%+ average accuracy consistently delivered. We deliver highly accurate annotated data across modalities for advanced use cases like content moderation, search relevance, and more.
Domain Expertise Across
Industries
5,000+ in-house subject matter experts covering all major domains, from healthcare to finance to legal. Innodata offers expert domain-specific annotation, collection, fine-tuning, and more.
Quick Annotation Turnaround at Scale
Our globally distributed teams guarantee swift delivery of high-quality results 24/7, leveraging industry-leading data quality practices across projects of any size and complexity, regardless of time zones.
Annotation Specialists
Our ontologists, linguists, annotators, QA specialists, and data scientists collaborates on building ontologies, creating guidelines, and performing annotations for leading model development.
Enabling Domain-Specific
Data Annotation Across Industries.
Agritech or Agriculture
Energy, Oil, or Gas
Media or Social Media
Search Relevance, Content Moderation, Ad Placements, Agentic AI Training, Facial Recognition, Podcast Tagging, Recommendation Engines, Sentiment Analysis, Chatbots, and More…
Consumer Products or Retail
Product Categorization and Classification, Agentic AI Training, Inventory Management, Visual Search Engines, Customer Reviews, Search Relevance, Recommendation Engines, Customer Service Chatbots, and More…
Manufacturing, Transportation, or Logistics
Banking, Financials, or Fintech
Fraud Detection, Risk Assessment, Trading Algorithms, Agentic AI Training, Customer Sentiment Analysis, Regulatory Compliance, and More…
Legal or Law
Automotive or Autonomous Vehicles
Aviation, Aerospace, or Defense
Healthcare or Pharmaceuticals
Medical Image Annotation, Drug Development, Health Record Annotation, Agentic AI Training, Pharmacovigilance, Medical Journal Annotation, and More…
Insurance or Insurtech
Software or Technology
Computer Vision Initiatives, Agentic AI Training, Audio and Speech Recognition, LLM Model Development, Image and Object Recognition, Search Relevance, Sentiment Analysis, Fraud Detection, and More...
8 out of 10 AI projects fail, with 96% of organizations facing challenges related to data quality, data labeling, and building model confidence.*
Despite advancements in automation, human expertise remains indispensable, especially in ensuring high-quality data labeling.
Human annotators provide critical contextual understanding, ensure quality control, mitigate bias, and offer adaptability —elements that automation alone cannot fully address.
Why Humans Still Matter in Data Labeling.
Looking for a Platform-Based Annotation Tool?
Enable your teams to label data at scale with our web-based annotation platform for record classification, document classification, inline classification, and image annotation.
CASE STUDIES
Image, Video, + Sensor Data Annotation Success Stories
See how top companies are transforming their AI initiatives with Innodata’s comprehensive data annotation solutions. Ready to be our next success story?
