peerannot: A framework for label aggregation in crowdsourced datasets

Axel Dubar (1) , Tanguy Lefort (2, 1) , Joseph Salmon (1, 3)

1 IMAG - Institut Montpelliérain Alexander Grothendieck
2 ZENITH - Scientific Data Management
3 IUF - Institut universitaire de France

This work presents peerannot, an image data classification library of image data whose labels are generated by crowdsourcing. It is written in Python and allows a comparison of aggregation classification methods with other reference libraries.

Keywords: Classification; Clustering; Mixture models; Computational statistics

Keywords: Statistique Computationnelle; Classification et modèles de mélange

Domains: Machine Learning [stat.ML]

Axel Dubar, Tanguy Lefort, Joseph Salmon. peerannot: A framework for label aggregation in crowdsourced datasets. JDS 2024 - 55es Journées de Statistique, Société Française de Statistique (SFdS), May 2024, Bordeaux, France. ⟨hal-04562830⟩