Datasets:
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 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
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}}