JHU-CROWD++ : Large-Scale Crowd Counting Dataset and A Benchmark Method

We introduce a new large scale unconstrained crowd counting dataset (JHU-CROWD++) that contains "4,372" images with "1.51 million" annotations. In comparison to existing datasets, the proposed dataset is collected under a variety of diverse scenarios and environmental conditions....

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Détails bibliographiques

Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 5 vom: 04. Mai, Seite 2594-2609
Auteur principal:	Sindagi, Vishwanath A (Auteur)
Autres auteurs:	Yasarla, Rajeev, Patel, Vishal M
Format:	Article en ligne
Langue:	English
Publié:	2022
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article Research Support, U.S. Gov't, Non-P.H.S.