RSandAI/VHRTrees
A benchmark dataset for deep learning-based tree detection: VHRTrees
This project offers pre-trained models to accurately detect individual trees from very high-resolution satellite imagery, specifically from Google Earth. You provide satellite images, and the models output precise bounding boxes around each tree, helping you map and count trees across large areas. It's designed for forestry professionals, environmental researchers, and urban planners who need reliable tree inventory data.
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Use this if you need to automatically identify and count individual trees within high-resolution aerial or satellite images for ecological surveys or urban green space management.
Not ideal if you are looking for species-level tree identification or require analysis of tree health, as it only identifies the presence of a tree.
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Feb 27, 2025
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