label-studio and X-AnyLabeling

Label Studio is a browser-based multi-type annotation platform with standardized outputs, while X-AnyLabeling is a desktop application focused on computer vision tasks with integrated AI-assisted segmentation—they are **complements** that can be used together, with X-AnyLabeling handling local image annotation and Label Studio managing broader annotation workflows across data types.

label-studio
78
Verified
X-AnyLabeling
72
Verified
Maintenance 22/25
Adoption 10/25
Maturity 25/25
Community 21/25
Maintenance 17/25
Adoption 10/25
Maturity 25/25
Community 20/25
Stars: 26,703
Forks: 3,431
Downloads:
Commits (30d): 58
Language: TypeScript
License: Apache-2.0
Stars: 8,375
Forks: 909
Downloads:
Commits (30d): 14
Language: Python
License: GPL-3.0
No risk flags
No risk flags

About label-studio

HumanSignal/label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

Label Studio helps data professionals organize and prepare their raw datasets for machine learning model training. You can upload various types of data, such as images, audio, text, videos, and time series, and then use a simple interface to add labels or annotations. This process transforms your unstructured data into structured, labeled datasets ready for building or improving AI models.

data-annotation machine-learning-engineering dataset-preparation data-labeling AI-training-data

About X-AnyLabeling

CVHub520/X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

This tool helps data professionals quickly and accurately label images and videos for various computer vision tasks. You input raw visual data, and it assists you in marking objects, segments, or text, outputting structured annotations that can be used to train AI models. It's designed for data engineers and researchers who need to prepare large datasets for machine learning applications.

data-annotation computer-vision machine-learning-datasets image-processing AI-model-training

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