3 papers
cs.CV2026
Leveraging Image Generators to Address Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping
Gabriel Jeanson, David-Alexandre Duclos, William Larrivée-Hardy +5
Sustainable forest management relies on precise species composition mapping, yet traditional ground surveys are labour-intensive and geographically constrained. While Uncrewed Aeri…
cs.RO2026
FoMo: A Multi-Season Dataset for Robot Navigation in Forêt Montmorency
Matěj Boxan, Gabriel Jeanson, Alexander Krawciw +5
The Forêt Montmorency (FoMo) dataset is a comprehensive multi-season data collection, recorded over the span of one year in a boreal forest. Featuring a unique combination of on- a…
cs.CV2025
SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests
David-Alexandre Duclos, William Guimont-Martin, Gabriel Jeanson +7
Interest in forestry automation is growing alongside rapid advances in deep learning. In particular, tree detection and taxonomic classification are seen as core tasks required for…