Scalabel

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Scalabel is a versatile web-based visual data annotation tool that supports both 2D and 3D data labeling. It offers real-time session synchronization for seamless collaboration and semi-automatic annotation with label pre-loading.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is scalabel?

Scalabel is a comprehensive web-based platform designed for visual data annotation, supporting both 2D and 3D data labeling tasks. It is particularly useful for computer vision research and machine learning applications, enabling the creation of high-quality training datasets. Key features include image tagging, 2D and 3D bounding box detection and tracking, and polygon/polyline annotation with support for bezier curves. The tool facilitates real-time session synchronization, allowing multiple users to collaborate seamlessly on projects. Additionally, it offers semi-automatic annotation capabilities through label pre-loading, where deep learning models can assist in labeling large datasets. Scalabel also provides a Python API for efficient label handling, visualization, and conversion to popular formats like COCO, KITTI, and Waymo, making it a robust solution for various annotation needs.

Best used for

Ideal for researchers and engineers who need to create high-quality labeled datasets for computer vision and machine learning models. Especially valuable for annotating 2D images, 3D point clouds, and tracking objects across frames, with features for real-time collaboration and semi-automatic labeling.

Common actions

annotate images

label 3D data

create datasets

collaborate on labeling

automate annotation

face swappinglow-code/no-codeworkflowscollaboration"AI Agents"automated workflowopen-sourcegithub copilotdeepfake

Capabilities

Key features

2D bounding box annotation
3D bounding box annotation
Polygon/polyline annotation
Real-time collaboration
Semi-automatic annotation
Python API
Data format conversion

Target Audience

researcherdata scientistengineer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of data can Scalabel annotate?

Scalabel supports the annotation of both 2D and 3D visual data. This includes 2D images for tasks like bounding box detection, polygon segmentation, and image tagging, as well as 3D point clouds for 3D bounding box detection and tracking.

Does Scalabel support collaborative annotation?

Yes, Scalabel features real-time session synchronization, allowing multiple users to work on the same annotation project simultaneously. Changes in labels and tags are updated across all sessions in real-time, facilitating seamless teamwork.

Can Scalabel assist with semi-automatic annotation?

Scalabel offers semi-automatic annotation capabilities where deep learning models can pre-label data. Users can train models on a subset of data, then use them to automatically label the remaining data, which can then be manually adjusted in the interface.

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Research & Education › Academic Research

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