Landslide-Aerial Computer Vision Project
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This deep learning model has been deployed for landslide inventory and remote sensing applications. The sample images used to train the model were obtained from aerial photographs taken by the Lands Department over the past decades. Most of the images were captured at an altitude below 8000 feet and under cloud-free conditions.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
landslide-aerial_dataset,
title = { Landslide-Aerial Dataset },
type = { Open Source Dataset },
author = { Trial },
howpublished = { \url{ https://universe.roboflow.com/trial-3tpwq/landslide-aerial } },
url = { https://universe.roboflow.com/trial-3tpwq/landslide-aerial },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jun },
note = { visited on 2024-06-29 },
}
Connect Your Model With Program Logic
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