Anylabeling

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AnyLabeling is an AI-assisted data labeling tool that supports YOLO and Segment Anything models. It offers effortless data labeling with an improved UI, combining features from LabelImg and Labelme.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is anylabeling?

AnyLabeling is an AI-assisted data labeling tool designed to streamline the data labeling process for AI development. It offers effortless annotation with support for various AI models, including YOLOv8 for object detection and the Segment Anything family (SAM, SAM 2, SAM 2.1, SAM 3, MobileSAM) for advanced segmentation tasks. The tool provides image annotation capabilities for polygons, rectangles, circles, lines, and points, along with text detection, recognition, and Key Information Extraction (KIE) labeling. It combines the functionalities of LabelImg and Labelme with an enhanced user interface, making it a comprehensive solution for developers and data scientists working on computer vision projects. All necessary AI models are automatically downloaded from Hugging Face on first use, simplifying setup.

Best used for

Ideal for developers and data scientists who need to efficiently label images for object detection, perform instance segmentation, and extract key information from visual data. Especially valuable for those working with computer vision models like YOLO and Segment Anything, seeking an improved UI over traditional labeling tools.

Common actions

label images

annotate data

prepare datasets

auto-label objects

segment images

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Capabilities

Key features

Image annotation (polygon, rectangle)
Auto-labeling with YOLOv8
Auto-labeling with Segment Anything
Text detection and recognition
Key Information Extraction (KIE)
Multiple language support

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What AI models does AnyLabeling support for auto-labeling?

AnyLabeling supports a range of AI models for auto-labeling, including YOLOv8 for object detection and the Segment Anything family (SAM, SAM 2, SAM 2.1, SAM 3) and MobileSAM for various segmentation tasks. These models are automatically downloaded from Hugging Face on first use.

What types of annotations can be created with AnyLabeling?

AnyLabeling allows for diverse image annotations, including polygons, rectangles, circles, lines, and points. It also supports specialized labeling for text detection, recognition, and Key Information Extraction (KIE), making it versatile for different computer vision projects.

Is AnyLabeling suitable for macOS users?

Yes, AnyLabeling provides specific instructions and a folder mode build for macOS users. It requires Python 3.11+ and recommends Python 3.12, with PyQt6 installation via Conda for optimal performance on macOS systems.

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