Data Structure ?
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Data Structure ?
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README.md
文脈
開発者が簡単で数行のコードを使って、自己完結型の深層学習とコンピュータビジョン機能を備えたアプリケーションやシステムを構築できるようにするために構築されたPythonライブラリ。
内容
シンプルさを念頭に構築されたImageAIは、画像予測、カスタム画像予測、物体検出、ビデオ検出、ビデオ物体追跡、および画像予測のトレーニングに最適な最新の機械学習アルゴリズムのリストをサポートしています。ImageAIは現在、ImageNet - 1000データセットで学習させた4種類の異なる機械学習アルゴリズムを使用した画像予測とトレーニングをサポートしています。また、COCOデータセットで学習させたRetinaNet、YOLOv3、およびTinyYOLOv3を使用した物体検出、ビデオ検出、および物体追跡もサポートしています。
最終的に、ImageAIは、特殊環境や特殊分野での画像認識を含むがこれに限定されない、コンピュータビジョンのより幅広く、より専門的な側面をサポートする予定です。
謝辞
AIコモンズプロジェクトhttps://aicommons.science 開発およびメンテナンスは、TorchFusionの創始者であり、「深層コンピュータビジョン入門」の著者である兄弟のモーゼス・オラフェンワとジョン・オラフェンワによって行われています。
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- 1. If any data on this site involves infringement, please contact us promptly, and we will arrange for the data to be taken offline.
- 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.
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