OCI Data LabelingOracle
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Related Products
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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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About
An offline image annotation tool for object detection and segmentation. Draw polygons, cubic bezier curves, line segments, and points. Draw oriented bounding boxes in aerial images. Draw key points with a skeleton. Draw pixels with brushes and superpixels. Read/write in PASCAL VOC xml and YOLO text formats. Export to CreateML object detection and image classification formats. Export to COCO, Labelme, YOLO, DOTA, and CSV formats. Export indexed color mask images and grayscale mask images. Settings for objects, attributes, hotkeys, and labeling fast. Customize the label dialog to combine with attributes. 1-click buttons speed up selecting the object name. Auto-suggest works for more than 5000 object names. Search object, attribute, and image names in a gallery view. Automatic labeling using Core ML models. Automatic text recognition using OCR. Video to image frames, augment images, etc. Supports English, Chinese, Korean, and 11 other languages.
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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
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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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Audience
Individuals in search of an offline solution to annotate images for object detection and segmentation
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.0002 per 1,000 transactions
Free Version
Not Supported
Free Trial
Supported
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Pricing
Free
Free Version
Supported
Free Trial
Not 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
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationOracle
Founded: 1977
United States
www.oracle.com/artificial-intelligence/data-labeling/
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Company InformationRectLabel
United States
rectlabel.com
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Alternatives |
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Categories |
Categories |
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Integrations
JSON
Supported
Oracle AI Agent Platform
Supported
Oracle Cloud Infrastructure
Supported
Oracle Data Science
Supported
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Integrations
JSON
Not Supported
Oracle AI Agent Platform
Not Supported
Oracle Cloud Infrastructure
Not Supported
Oracle Data Science
Not Supported
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