Data Structure ?
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Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
- 注釈付き画像10万枚以上
- 100メートル以上の注釈
- 解像度1276×717ピクセル
セグメンテーションの課題
車線マーカーは、平均幅がわずか12cmであるため、注釈付けが難しい。遠い距離では、ピクセル数が非常に少なくなり、カメラ画像内でマーカーがアスファルトと混ざり始める。
車線近似
ピクセルレベルのセグメンテーションは位置特定に非常に有用ですが、いくつかの自動運転システムは、スプライン、クロソイド曲線、または多項式などの上位レベルの表現から恩恵を受けます。このデータセットのこのセクションでは、既存の手法と新しい手法を評価することができます。
引用
@inproceedings{llamas2019, title={地図を用いた教師なしラベル付き車線マーカーデータセットの生成},
author={ベーレント, カルステン および スーサン, ライアン},
booktitle={IEEE国際コンピュータビジョン会議論文集},
year={2019}
}
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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.
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