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Models for paper "From crowd to herd counting: How to precisely detect and count African mammals using aerial imagery and deep learning?"

Domaine:

geospatialagriculture

Type de record:

model
Créateur:
DelFouThéBus
Éditeur:
Del
Éditeur:
ULi
Hôte:avatar
HerdNet architecture parameters (stored in '.pth' files), trained separately on : nadir aerial images, containing 6 African wildlife species, from the general dataset of Delplanque et al. (2022), oblique aerial images, containing 3 African livestock species, from the Ennedi dataset of Delplanque et al. (2023). These files have been obtained using the HerdNet code (v0.1.0), published on Github: Alexandre-Delplanque/HerdNet These pre-trained models follow the CC BY-NC-SA-4.0 license and are available for academic research purposes only, no commercial use is permitted.

Visit

doi.orgdataverse.uliege.be

Tasks

computer visionimage classification

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