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---
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.
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}}
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