DeepForestVisionV2 expands camera-trap classification to 64 classes and reports improved accuracy and taxon coverage on held-out benchmarks spanning forest interiors, riverbanks, and park edges.
Wildlife Insights: A Platform to Maximize the Potential of Camera Trap and Other Passive Sensor Wildlife Data for the Planet
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
CONDITIONAL 2representative citing papers
SPARROW deploys solar-powered edge-AI sensor nodes with LEO satellite or GSM connectivity to enable continuous autonomous biodiversity monitoring, demonstrated across four countries with over two million recordings in 190 days.
citing papers explorer
-
DeepForestVisionV2: Ecology-Driven Taxonomy Expansion for Camera-Trap Monitoring in African Tropical Forests
DeepForestVisionV2 expands camera-trap classification to 64 classes and reports improved accuracy and taxon coverage on held-out benchmarks spanning forest interiors, riverbanks, and park edges.
-
Project SPARROW and the Future of Conservation Technology
SPARROW deploys solar-powered edge-AI sensor nodes with LEO satellite or GSM connectivity to enable continuous autonomous biodiversity monitoring, demonstrated across four countries with over two million recordings in 190 days.