language:en size_categories:1K<n<10K format:imagefolder modality:image library:datasets library:mlcroissant library:fiftyone region:us fiftyone image
---
annotations_creators: []
language: en
size_categories:
- 1K<n<10K
task_categories: []
task_ids: []
pretty_name: OpenSARWake
tags:
- fiftyone
- image
dataset_summary: '




  This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2383 samples.


  ## Installation


  If you haven''t already, install FiftyOne:


  ```bash

  pip install -U fiftyone

  ```


  ## Usage


  ```python

  import fiftyone as fo

  from fiftyone.utils.huggingface import load_from_hub


  # Load the dataset

  # Note: other available arguments include ''max_samples'', etc

  dataset = load_from_hub("dgural/OpenSARWake")


  # Launch the App

  session = fo.launch_app(dataset)

  ```

  '
---

# Dataset Card for OpenSARWake

OpenSARWake is a benchmark dataset built for ship wake detection. This collection provides 3,973 images containing two polarization modes and 4,096 instances. Most importantly, it encompasses SAR images in the L-, C-, and X-bands, which have not been provided by previous datasets. The images in the dataset have spatial resolutions of 1.25 m to 12.5 m. The image size is 1024× 1024 pixels.


![preview](./preview.png)


This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2383 samples.

## Installation

If you haven't already, install FiftyOne:

```bash
pip install -U fiftyone
```

## Usage

```python
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub

# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("dgural/OpenSARWake")

# Launch the App
session = fo.launch_app(dataset)
```


## Dataset Details


### Dataset Sources 


- **Repository:** https://github.com/libzzluo/OpenSARWake?tab=readme-ov-file


## Dataset Structure

The dataset includes `ground_truth` field as well as clip embeddings for visualization

### Source Data

[Google Drive Link](https://drive.google.com/file/d/14VkPYnb1BsmOvw_JTwtVFM-_qVpc4Udu/view?usp=sharing)

#### Who are the source data producers?

Xu, Chengji and Wang, Xiaoqing

## Citation [optional]

@ARTICLE{10507047,
  author={Xu, Chengji and Wang, Xiaoqing},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={OpenSARWake: A Large-Scale SAR Dataset for Ship Wake Recognition with a Feature Refinement Oriented Detector}, 
  year={2024},
  doi={10.1109/LGRS.2024.3392681}}
