OpenSARWake / README.md
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metadata
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

This is a FiftyOne dataset with 2383 samples.

Installation

If you haven't already, install FiftyOne:

pip install -U fiftyone

Usage

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

Dataset Structure

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

Source Data

Google Drive Link

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}}