Unicamp-UAV dataset for human detection in UAV imagery

Version 1.2
Simões, Débora Paula; Oliveira, Henrique Cândido de; Danillo Roberto Pereira, 2026, "Unicamp-UAV dataset for human detection in UAV imagery", https://doi.org/10.25824/redu/PZ7HOL, Repositório de Dados de Pesquisa da Unicamp, V1
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Description
To contribute to the scientific community focused on small object detection and UAV applications, we present a new dataset for human detection in UAV imagery, named Unicamp-UAV. This dataset was created by recording videos using a DJI Phantom 4 UAV at multiple locations across the Barão Geraldo Campus of the University of Campinas (Unicamp), Brazil. The videos were acquired under daylight conditions and favorable weather, considering different camera orientations and individuals in diverse poses to ensure data heterogeneity and to produce a representative dataset for the target area of interest. In total, the dataset comprises 6,500 UAV images, in which 58,555 human instances are annotated. The dataset is an outcome of the doctoral research entitled "Real-time UAV path planning for last-mile delivery operations with a focus on urban safety supported by deep learning-based human detection". The Unicamp-UAV dataset is publicly available through a GitHub repository at https://github.com/SimoesDP/Unicamp-UAV-Dataset . (2025-12-17)
Subject Computer and Information Science; Engineering
Keyword Drone aircraft, Unmanned aerial vehicles, Small object detection, Deep learning
Related Publication SIMÕES, Débora Paula; OLIVEIRA, Henrique Cândido de; PEREIRA, Danillo Roberto. Unicamp-UAV: an open dataset for human detection in UAV imagery. ISPRS journal of photogrammetry and remote sensing. Amsterdam. v. 231, p. 119-136, Jan. 2026. Disponível em: https://doi.org/10.1016/j.isprsjprs.2025.10.026
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