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What is OCI Data Labeling?
OCI Data Labeling serves as a robust solution for developers and data scientists aiming to generate accurately labeled datasets that are crucial for training artificial intelligence and machine learning models. This versatile tool supports multiple formats, including documents like PDF and TIFF, images such as JPEG and PNG, and various text types, allowing users to upload raw data, apply a range of annotations—like classification labels, object-detection bounding boxes, or key-value pairs—and export the annotated outputs in line-delimited JSON format, which is beneficial for the model-training workflow. Additionally, it offers customizable templates specifically designed for different types of annotations, along with user-friendly interfaces and public APIs that streamline the process of dataset creation and management. The service also ensures smooth interoperability with other data and AI tools, permitting the direct integration of annotated data into custom vision or language models, alongside Oracle’s AI solutions. Users can efficiently utilize OCI Data Labeling to build datasets, create records, annotate them, and then use the exported snapshots for robust model development, guaranteeing a seamless transition from data labeling to AI model training. As a result, this service significantly boosts the productivity of teams engaged in AI projects, ultimately fostering more efficient workflows and innovative applications.
What is Datature?
Datature is a comprehensive, no-code solution designed for computer vision and MLOps, simplifying the deep-learning workflow by empowering users to manage data, annotate images and videos, train models, evaluate performance, and deploy AI vision applications—all within a unified platform that eliminates the need for coding expertise. Its intuitive visual interface, combined with an array of workflow tools, streamlines the process of onboarding and annotating datasets, addressing tasks such as bounding box creation, segmentation, and advanced labeling, while also allowing users to establish automated training pipelines, oversee model training, and analyze performance through in-depth metrics. After the evaluation stage, models can be effortlessly deployed via API or for edge computing, ensuring they can be effectively utilized in practical situations. By striving to democratize access to AI vision, Datature not only accelerates project timelines by reducing reliance on manual coding and troubleshooting but also fosters greater collaboration among teams from various fields. Furthermore, it adeptly accommodates a wide range of applications, including object detection, classification, semantic segmentation, and video analysis, which significantly enhances its relevance and versatility in the realm of computer vision. This makes Datature an invaluable asset for organizations looking to leverage AI technology without the usual complexities associated with coding.
Integrations Supported
JSON
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science
Integrations Supported
API Availability
Has API
API Availability
Has API
Pricing Information
$0.0002 per 1,000 transactions
Free Trial Offered?
Pricing Information
Pricing not provided
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/artificial-intelligence/data-labeling/
Company Facts
Organization Name
Datature
Date Founded
2020
Company Location
United States
Company Website
datature.io
Categories and Features
Data Annotation
Not specified
Data Labeling
Not specified
Categories and Features
AI Fine-Tuning
Not specified
Computer Vision
Not specified
Data Annotation
Not specified
Data Labeling
Not specified