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Dataset Code for paper: "Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks"

Domaine:

environment and energygeospatial

Type de record:

datasetsoftware
Créateur:
DelFouLejeune, PhilippeLin
Éditeur:
Del
Éditeur:
ULi
Hôte:avatar
This dataset contains aerial images, model result files and the code used in the paper: Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks. It is divided into 3 main parts: 1) The code, which contains the mmdetection v1.0.0 package as well as the adapted version and Jupyter notebooks; 2) The data (general_dataset.zip), which contains all the images and annotations of the general dataset used for training the deep learning models in the paper; 3) The results (results_files.zip), which contain the models outputs on the general dataset.

Visit

doi.orgdataverse.uliege.be

Tasks

computer visionimage classification

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Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks

Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks

Abstract Survey and monitoring of wildlife populations are among the key elements in nature conserv