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

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Provided by Université de Liège

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Dataset information

Catalog
Université de Liège catalog
Country of origin
Belgium
Updated
2024.04.05 10:51
Created
2024.04.05
Available languages
English
Keywords
UAV, HerdNet, convolutional neural networks, wildlife detection, aerial survey, drone, aerial imagery, African mammals, deep learning, livestock, aircraft
Datasource
Official portal for European data link
Quality scoring

Dataset description

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: https://github.com/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.
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