FrankFeng-23/SPREAD
SPREAD is a large-scale synthetic dataset for image- and point-cloud- based tasks in forestry.
This dataset provides high-quality, synthetic images and measurements of trees and forests, designed to help forestry professionals train AI models. You get photo-realistic images, depth maps, and segmentation maps of trees, alongside precise measurements like tree height and diameter. Foresters, environmental scientists, and conservationists can use this to develop and test automated tree monitoring and analysis systems.
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Use this if you need a large, accurately labeled dataset of diverse forest environments and individual tree parameters to train your AI models for tasks like tree detection, species recognition, or canopy analysis.
Not ideal if you primarily work with real-world sensor data and require specific environmental noise or sensor characteristics not present in synthetic data.
Stars
33
Forks
2
Language
Python
License
MIT
Category
Last pushed
Aug 08, 2025
Commits (30d)
0
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