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--- |
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annotations_creators: [] |
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language: en |
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size_categories: |
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- 1K<n<10K |
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task_categories: [] |
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task_ids: [] |
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pretty_name: OpenSARWake |
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tags: |
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- fiftyone |
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- image |
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dataset_summary: ' |
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2383 samples. |
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## Installation |
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If you haven''t already, install FiftyOne: |
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```bash |
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pip install -U fiftyone |
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``` |
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## Usage |
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```python |
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import fiftyone as fo |
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from fiftyone.utils.huggingface import load_from_hub |
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# Load the dataset |
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# Note: other available arguments include ''max_samples'', etc |
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dataset = load_from_hub("dgural/OpenSARWake") |
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# Launch the App |
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session = fo.launch_app(dataset) |
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``` |
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' |
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--- |
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# Dataset Card for OpenSARWake |
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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. |
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 |
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This is a [FiftyOne](https://github.com/voxel51/fiftyone) dataset with 2383 samples. |
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## Installation |
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If you haven't already, install FiftyOne: |
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```bash |
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pip install -U fiftyone |
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``` |
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## Usage |
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```python |
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import fiftyone as fo |
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from fiftyone.utils.huggingface import load_from_hub |
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# Load the dataset |
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# Note: other available arguments include 'max_samples', etc |
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dataset = load_from_hub("dgural/OpenSARWake") |
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# Launch the App |
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session = fo.launch_app(dataset) |
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``` |
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## Dataset Details |
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### Dataset Sources |
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- **Repository:** https://github.com/libzzluo/OpenSARWake?tab=readme-ov-file |
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## Dataset Structure |
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The dataset includes `ground_truth` field as well as clip embeddings for visualization |
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### Source Data |
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[Google Drive Link](https://drive.google.com/file/d/14VkPYnb1BsmOvw_JTwtVFM-_qVpc4Udu/view?usp=sharing) |
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#### Who are the source data producers? |
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Xu, Chengji and Wang, Xiaoqing |
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## Citation [optional] |
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@ARTICLE{10507047, |
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author={Xu, Chengji and Wang, Xiaoqing}, |
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journal={IEEE Geoscience and Remote Sensing Letters}, |
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title={OpenSARWake: A Large-Scale SAR Dataset for Ship Wake Recognition with a Feature Refinement Oriented Detector}, |
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year={2024}, |
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doi={10.1109/LGRS.2024.3392681}} |
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