Models for paper "From crowd to herd counting: How to precisely detect and count African mammals using aerial imagery and deep learning?"
收藏DataCite Commons2024-04-05 更新2024-07-13 收录
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https://dataverse.uliege.be/citation?persistentId=doi:10.58119/ULG/D5J7HV
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资源简介:
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.
提供机构:
ULiège Open Data Repository
创建时间:
2024-04-04



