OCI Data LabelingOracle
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Related Products
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About
The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.
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About
OCI Data Labeling is a service that enables developers and data scientists to build accurately labelled datasets for training AI and machine-learning models. It supports documents (PDF, TIFF), images (JPEG, PNG), and text, allowing users to upload raw data, apply annotations (such as classification labels, object-detection bounding boxes, or key-value pairs), and export the results in line-delimited JSON for seamless integration into model-training workflows. The service offers custom templates for different annotation formats, user interfaces, and public APIs for dataset creation and management, and smooth interoperability with other data and AI services, so annotated data can feed directly into custom vision or language models, as well as Oracle’s AI services. OCI Data Labeling lets users create a dataset, generate records, annotate them, and then use the export snapshot for model development.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Developers searching for a solution to label every data type and build custom UIs for computer vision processes
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Audience
Data scientists and ML engineers looking for a solution to create, annotate and export labelled datasets across image, document and text modalities to train and deploy AI/ML models at scale
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Supported
Free Trial
Supported
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Pricing
$0.0002 per 1,000 transactions
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationLabel Studio
United States
labelstud.io
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/artificial-intelligence/data-labeling/
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Alternatives |
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Categories |
Categories |
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Integrations
ApertureDB
Supported
Docker
Supported
Google Cloud Storage
Supported
Hugging Face
Supported
JSON
Not Supported
Kubernetes
Supported
Lightly
Supported
Modzy
Supported
Oracle AI Agent Platform
Not Supported
Oracle Cloud Infrastructure
Not Supported
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Integrations
ApertureDB
Not Supported
Docker
Not Supported
Google Cloud Storage
Not Supported
Hugging Face
Not Supported
JSON
Supported
Kubernetes
Not Supported
Lightly
Not Supported
Modzy
Not Supported
Oracle AI Agent Platform
Supported
Oracle Cloud Infrastructure
Supported
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