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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.

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.

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

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

Audience

Developers searching for a solution to label every data type and build custom UIs for computer vision processes

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Supported

Pricing

$0.0002 per 1,000 transactions
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Label Studio
United States
labelstud.io

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/artificial-intelligence/data-labeling/

Alternatives

Ango Hub

Ango Hub

iMerit

Alternatives

LabelFort

LabelFort

Predusk Technology Private Limited
Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth

Amazon Web Services
Mindkosh

Mindkosh

Mindkosh AI

Categories

AI Fine-Tuning Supported
Data Annotation Supported
Data Labeling Supported
Image Annotation Supported
LLM Evaluation Supported
RLHF Supported
Video Annotation Supported

Categories

Data Annotation Supported
Data Labeling Supported

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
Oracle Data Science Not Supported
Pachyderm Supported
PostgreSQL Supported
PyTorch Supported
Redis Supported
Rosepetal AI Supported
SQLite Supported
TensorFlow Supported
Terraform Supported
scikit-image Supported

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
Oracle Data Science Supported
Pachyderm Not Supported
PostgreSQL Not Supported
PyTorch Not Supported
Redis Not Supported
Rosepetal AI Not Supported
SQLite Not Supported
TensorFlow Not Supported
Terraform Not Supported
scikit-image Not Supported
Claim Label Studio and update features and information
Claim Label Studio and update features and information
Claim OCI Data Labeling and update features and information
Claim OCI Data Labeling and update features and information