Roboflow Universe Robin Public satellite image tinhouse detector

satellite image tinhouse detector Computer Vision Project

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From the Original Author:

Detection of tin houses from satellite/aerial images, trained using the Tensorflow 2 Object Detection API.

Satellite images are rich with information about people and the Earth. The latest advancements in deep learning and object detection has allowed very accurate analysis of satellite images. This project is a proof-of-concept of how satellite images can be applied to understand rural Bangladesh better. The project have a lot of potential in revealing various insights about villages in Bangladesh.

Dataset Source:

This dataset is obtained from the listing in Robin Cole's satellite-image-deep-learning GitHub repository

satellite_image_tinhouse_detector -> Detection of tin houses from satellite/aerial images using the Tensorflow Object Detection API

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Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            satellite-image-tinhouse-detector_dataset,
                            title = { satellite image tinhouse detector Dataset },
                            type = { Open Source Dataset },
                            author = { Robin Public },
                            howpublished = { \url{ https://universe.roboflow.com/robin-public/satellite-image-tinhouse-detector } },
                            url = { https://universe.roboflow.com/robin-public/satellite-image-tinhouse-detector },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-06-28 },
                            }