Update Readme

README.md

@@ -58,7 +58,7 @@ dataset_summary: '
 
 # Dataset Card for OpenSARWake
 
-<!-- Provide a quick summary of the dataset. -->
+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.
 
 
 
@@ -91,10 +91,6 @@ session = fo.launch_app(dataset)
 
 ## Dataset Details
 
-### Dataset Description
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-<!-- Provide a longer summary of what this dataset is. -->
-
 
 
 - **Curated by:** [More Information Needed]
@@ -107,116 +103,26 @@ session = fo.launch_app(dataset)
 
 <!-- Provide the basic links for the dataset. -->
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
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-## Uses
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-<!-- Address questions around how the dataset is intended to be used. -->
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-### Direct Use
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-<!-- This section describes suitable use cases for the dataset. -->
+- **Repository:** https://github.com/libzzluo/OpenSARWake?tab=readme-ov-file
 
-[More Information Needed]
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-### Out-of-Scope Use
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-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
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-[More Information Needed]
 
 ## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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-[More Information Needed]
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-## Dataset Creation
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-### Curation Rationale
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-<!-- Motivation for the creation of this dataset. -->
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-[More Information Needed]
+The dataset includes `ground_truth` field as well as clip embeddings for visualization
 
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
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-#### Data Collection and Processing
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-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
+[Google Drive Link](https://drive.google.com/file/d/14VkPYnb1BsmOvw_JTwtVFM-_qVpc4Udu/view?usp=sharing)
 
 #### Who are the source data producers?
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
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-[More Information Needed]
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-### Annotations [optional]
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-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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-#### Annotation process
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-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
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-[More Information Needed]
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-#### Who are the annotators?
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-<!-- This section describes the people or systems who created the annotations. -->
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-[More Information Needed]
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-#### Personal and Sensitive Information
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-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-[More Information Needed]
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-## Bias, Risks, and Limitations
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-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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-[More Information Needed]
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-### Recommendations
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-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+Xu, Chengji and Wang, Xiaoqing
 
 ## Citation [optional]
 
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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-**BibTeX:**
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-[More Information Needed]
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-**APA:**
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-[More Information Needed]
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-## Glossary [optional]
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-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
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-[More Information Needed]
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-## More Information [optional]
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-[More Information Needed]
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-## Dataset Card Authors [optional]
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-[More Information Needed]
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-## Dataset Card Contact
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-[More Information Needed]
+@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}}