Learning from Crowds with Crowd-Kit
Learning from Crowds with Crowd-Kit - Published in JOSS (2024)
Ipyannotator
Ipyannotator: the infinitely hackable annotation framework - Published in JOSS (2022)
transformer-srl
Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.
anylabeling
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
cvat
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.
publicationclassificationlabeling
Java package for obtaining labels for clusters of scientific publications.
peoplesanspeople
Unity's privacy-preserving human-centric synthetic data generator
btviewer
This repository contains the code for a user interface for viewing bee tracking photos and human labelling of these tracking images.
https://github.com/hcmlab/nova
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.
https://github.com/ai4bharat/shoonya
Shoonya - Platform to Annotate and label data at scale.
https://github.com/bit-bots/imagetagger
An open source online platform for collaborative image labeling