https://github.com/michaelthoreau/SearchAndRescueNet

https://github.com/michaelthoreau/SearchAndRescueNet

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• Host: GitHub
• URL: https://github.com/michaelthoreau/SearchAndRescueNet
• Owner: michaelthoreau
• Created: 2021-01-15T20:08:53.000Z (almost 4 years ago)
• Default Branch: master
• Last Pushed: 2021-07-28T16:44:45.000Z (over 3 years ago)
• Last Synced: 2024-08-01T13:16:59.619Z (3 months ago)
• Language: Jupyter Notebook
• Size: 21 MB
• Stars: 59
• Watchers: 4
• Forks: 12
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-object-detection-in-aerial-images - SaRNet

README

        
# Satellite Imagery for Search And Rescue Dataset - [ArXiv](https://arxiv.org/pdf/2107.12469.pdf)

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.

![anomaly](https://michaeltpublic.s3.amazonaws.com/images/anomaly_small.jpg)

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](https://www.immersivelimit.com/tutorials/create-coco-annotations-from-scratch), and is directly compatible with faster r-cnn as implemented in Facebook's [Detectron2](https://github.com/facebookresearch/detectron2).

## Getting hold of the Data

Download the data here: [sarnet.zip](https://michaeltpublic.s3.amazonaws.com/sarnet.zip)

Or follow these steps

```shell

# download the dataset

wget https://michaeltpublic.s3.amazonaws.com/sarnet.zip

# extract the files

unzip sarnet.zip

```

## Getting started

Get started with a Faster R-CNN model pretrained on SaRNet: [SaRNet_Demo.ipynb](https://github.com/michaelthoreau/SearchAndRescueNet/blob/master/SaRNet_Demo.ipynb)

## Source Code for Paper

Source code for the paper is located here: [SaRNet_train_test.ipynb](https://github.com/michaelthoreau/SearchAndRescueNet/blob/master/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.