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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

T-Rex Label is an intelligent tool designed for complex scenario annotation, applicable across various industries. It is the go-to option for those aiming to streamline their workflows and effortlessly create high-quality datasets. Leveraging the power of visual prompts, T-Rex allows for the quick prediction of numerous bounding boxes in a single step, making it ideal for annotating complex and dense scenes. Leveraging its exceptional zero-shot detection capability, T-Rex empowers complex scene annotation across industries without fine-tuning, supporting diverse applications ranging from agriculture to logistics and beyond. T-Rex assists a growing number of algorithm engineers and researchers in speeding up their annotation workflows, enabling the creation of high-quality datasets. T-Rex2 represents a significant step towards more generic and flexible object detection, leveraging the complementary strengths of language and vision.

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

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

Audience

Professionals in search of a solution to speed up their data annotation operations

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

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Label Studio
United States
labelstud.io

Company Information

T-Rex Label
United States
trexlabel.com

Alternatives

Ango Hub

Ango Hub

iMerit

Alternatives

Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth

Amazon Web Services

Categories

Categories

Integrations

Amazon S3
Amazon SageMaker
Azure Blob Storage
Docker
Google Cloud Storage
Hugging Face
Kubernetes
Lightly
Modzy
Pachyderm
PostgreSQL
PyTorch
Redis
Rosepetal AI
SQLite
TensorFlow
Terraform
Tesseract
ZenML
scikit-image

Integrations

Amazon S3
Amazon SageMaker
Azure Blob Storage
Docker
Google Cloud Storage
Hugging Face
Kubernetes
Lightly
Modzy
Pachyderm
PostgreSQL
PyTorch
Redis
Rosepetal AI
SQLite
TensorFlow
Terraform
Tesseract
ZenML
scikit-image
Claim Label Studio and update features and information
Claim Label Studio and update features and information
Claim T-Rex Label and update features and information
Claim T-Rex Label and update features and information