Security automation

Overview

Data Labeling is a service for building labeled datasets to more accurately train AI and machine learning models. With OCI Data Labeling, developers and data scientists assemble data, create and browse datasets, and apply labels to data records through user interfaces and public APIs. The labeled datasets can be exported for model development across Oracle’s AI and data science services for a seamless model-building experience.

Overview Illustration

Data Labeling use cases

Quadrant AI offers seamless access to intelligent solutions, guiding you through complex challenges with ease. Our AI adapts to your needs, providing real-time support and insights, no matter where you are or what you're facing.

Image classification

Label datasets consisting of logos, popular clothing silhouettes and colors, types of products, and medical images. Use these labeled datasets for inventory planning, product categorization, shelf management, and medical diagnoses.

Irregularity detection

Label irregular images to create models that automate elements of product quality checks, defect detection, safety surveillance, and inventory management.

Forms processing

Label documents to make extracting valuable information easier for patient claims processing, medical report diagnostics, and cellular research.

Virtual assistance

Classify datasets including receipts, invoices, and POs for customer support chatbots and automated expense filing.

Case Studies Of Success

Business Moto

Effective Change Management

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Business Moto

Effective Change Management

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Related Services

Dev Ops

Cloud Computing

Business Intelligence

Database Migration

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