DeepForestVision
DeepForestVision is an AI tool developed from camera-trap data gathered across six partner projects for the automatic identification of wildlife in African tropical forests. The idea: to produce an open-source tool, reliable in the field, useful for research, ecological monitoring, and conservation action.
An end-to-end project
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- DeepForestVision: Automated wildlife identification for camera traps of African tropical forests — the reference paper presenting the model, its performances, and its uses for biodiversity monitoring.
- DeepForestVisionV2: Expanded Taxonomy for Gradient-Aware Camera-Trap Classification in African Tropical Forest Landscapes — extended taxonomy and improved robustness.
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- Integration of the model into the AddaxAI interface, enabling simple local use by field teams and ecologists.
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- Field capacity building, including training the local coordinator of the camera trap team of the Sebitoli Chimpanzee Project for model deployment, use, and interpretation of outputs.
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- Writing a user manual for the model and its software integration. The document will be added here once online.
- Online workshops to come with Ugandan and Gabonese partners around deploying camera-trap projects with DeepForestVision.
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- Field example: African golden cat (Caracal aurata) identification by DeepForestVision.