Camera Trap Project Manual: Wildlife Monitoring in African Tropical Forests with DeepForestVision

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Authors: Hugo Magaldi, Innocent Kasekendi, Raymond Katumba, Harold Rugonge, John Justice Tibesigwa, Sabrina Krief
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Abstract

Field deployment, data management, and offline AI-assisted labelling using DeepForestVision (https://besjournals.onlinelibrary.wiley.com/doi/10.1002/2688-8319.70167) and AddaxAI (https://addaxdatascience.com/addaxai/). This manual provides practical guidance for camera trapping in African tropical forests, including AI-assisted labelling using DeepForestVision. Rather than aiming for exhaustive coverage, it compiles best practices and field-tested tips from real-world projects to help users design protocols and streamline data processing.DeepForestVision is developed as part of the One Forest Vision Initiative3, which supports tropical countries in protecting forests and wetlands by enabling transparent monitoring of forest degradation, carbon stocks, and biodiversity.

Fields of Study & Subjects

Wildlife Ecology and Conservation Environmental DNA in Biodiversity Studies Conservation Biodiversity and Resource Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN