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Data Structure ?
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README.md
これは深圳大学可視計算研究センターのチームが整理した多種類の天候環境画像データセットです。2017年のIEEE画像処理大会で公開されました。
晴天、曇り、雨、雪、霧、雷雨といった6つの一般的なカテゴリーの65,000枚の画像が含まれています。
このデータセットは天候分類と属性識別にも役立ちます。次に、我々は領域属性と同時性を発見するのを助けるために、領域選択と同時モデル(RSCM)という名前のディープラーニングフレームワークを提案しました。我々は多クラスベンチマークデータともう1つの天候識別用の公開データセットでRSCMを評価しました。
引用:
@article{RSCM2017, title = {RSCM: 領域選択と同時性モデルによる多クラス天候識別}, author = {林迪と陸策武と黄輝と賈佳亚}, journal = {IEEE Transactions on Image Processing}, volume = {26}, number = {9}, year = {2017}, pages = {4154--4167}, }
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- 1. The data originates from internet data collection or provided by service providers, and this platform offers users the ability to view and browse datasets.
- 2. This platform serves only as a basic information display for datasets, including but not limited to image, text, video, and audio file types.
- 3. Basic dataset information comes from the original data source or the information provided by the data provider. If there are discrepancies in the dataset description, please refer to the original data source or service provider's address.
- 1. All datasets on this site are copyrighted by their original publishers or data providers.
- 1. If you need to repost data from this site, please retain the original data source URL and related copyright notices.
- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.