label-studio and annotate-lab

These are competitors: Label Studio is a mature, production-ready multi-modal annotation platform with broad adoption, while Annotate-lab is a lightweight, specialized alternative focused specifically on image annotation with a simpler feature set.

label-studio
78
Verified
annotate-lab
56
Established
Maintenance 22/25
Adoption 10/25
Maturity 25/25
Community 21/25
Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 26,703
Forks: 3,431
Downloads:
Commits (30d): 58
Language: TypeScript
License: Apache-2.0
Stars: 125
Forks: 28
Downloads:
Commits (30d): 0
Language: JavaScript
License: MIT
No risk flags
No Package No Dependents

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 annotate-lab

sumn2u/annotate-lab

Annotate-lab is an open-source image annotation tool for efficient dataset creation. With an intuitive interface and flexible export options, it streamlines your machine learning workflow. 🖼️✏️📑

This tool helps researchers and data scientists efficiently label images for machine learning projects. You can upload raw images, draw bounding boxes or masks around objects, and then export these images with their corresponding annotations. It's designed for anyone who needs to create structured datasets from images for training AI models.

image-labeling dataset-creation computer-vision machine-learning-ops

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