A comprehensive package for tagging images.
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Updated
Jul 7, 2024 - TypeScript
A comprehensive package for tagging images.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
This repository contains the code for a user interface for viewing bee tracking photos and human labelling of these tracking images.
Solving data for LLMs - Create, Curate & Clean.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Open source text annotation software created by the french supreme court 'Cour de cassation'
Simplest and fastest image and text annotation tool.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Empower your React apps with robust image/document annotation capabilities! 🚀 Supports bounding boxes, polygons, points, zooming, dragging, and color-coded categorization. Built on FabricJS for ultimate customization. Perfect for data labeling and interactive editing.
Quickly set up and perform real-time, collaborative manual analysis
NOVA is a tool for annotating and analyzing behaviours in social interactions. It supports Annotators using Machine Learning already during the coding process. Further it features both, discrete labels and continuous scores and a visuzalization of streams recorded with the SSI Framework.
LabelZoom API (data model and I/O interfaces)
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything, MobileSAM!!
Unsupervised classification to improve the quality of a bird song recording dataset. https://doi.org/10.1016/j.ecoinf.2022.101952
crawling and collecting Online contents for coding platfrom
🚤 Label data at scale. Fun and precision included.
Web tool for computer vision data collection.
A collection of Python scripts to improve the experience of owning a Zebra printer
The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.
Control the quality of your labeled data with the Python tools you already know.
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