Description from the SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery GitHub Repository

• The "Note" was added by the Roboflow team.

Satellite Imagery for Search And Rescue Dataset - ArXiv

This is a single class dataset consisting of tiles of satellite imagery labeled with potential 'targets'. Labelers were instructed to draw boxes around anything they suspect may a paraglider wing, missing in a remote area of Nevada. Volunteers were shown examples of similar objects already in the environment for comparison. The missing wing, as it was found after 3 weeks, is shown below.

The dataset contains the following:

Set	Images	Annotations
Train	1808	3048
Validate	490	747
Test	254	411
Total	2552	4206

The data is in the COCO format, and is directly compatible with faster r-cnn as implemented in Facebook's Detectron2.

Getting hold of the Data

Download the data here: sarnet.zip

Or follow these steps

# download the dataset
wget https://michaeltpublic.s3.amazonaws.com/sarnet.zip

# extract the files
unzip sarnet.zip

Note with Roboflow, you can download the data here (original, raw images, with annotations): https://universe.roboflow.com/roboflow-public/sarnet-search-and-rescue/ (download v1, original_raw-images)

• Download the dataset in COCO JSON format, or another format of choice, and import them to Roboflow after unzipping the folder to get started on your project.

Getting started

Get started with a Faster R-CNN model pretrained on SaRNet: SaRNet_Demo.ipynb

Source Code for Paper

Source code for the paper is located here: SaRNet_train_test.ipynb

Cite this dataset

@misc{thoreau2021sarnet,
      title={SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery}, 
      author={Michael Thoreau and Frazer Wilson},
      year={2021},
      eprint={2107.12469},
      archivePrefix={arXiv},
      primaryClass={eess.IV}
}

Acknowledgment

The source data was generously provided by Planet Labs, Airbus Defence and Space, and Maxar Technologies.

                        @misc{
                            sarnet-search-and-rescue_dataset,
                            title = { SaRNet Search and Rescue Dataset },
                            type = { Open Source Dataset },
                            author = { Roboflow Public },
                            howpublished = { \url{ https://universe.roboflow.com/roboflow-public/sarnet-search-and-rescue } },
                            url = { https://universe.roboflow.com/roboflow-public/sarnet-search-and-rescue },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jun },
                            note = { visited on 2024-11-24 },
                            }