OCI Data LabelingOracle
|
||||||
Related Products
|
||||||
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.
|
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.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
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
|
Audience
Individuals in search of an offline solution to annotate images for object detection and segmentation
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
$0.0002 per 1,000 transactions
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationOracle
Founded: 1977
United States
www.oracle.com/artificial-intelligence/data-labeling/
|
Company InformationRectLabel
United States
rectlabel.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
JSON
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science
|
Integrations
JSON
Oracle AI Agent Platform
Oracle Cloud Infrastructure
Oracle Data Science
|
|||||
|
|
|