Data Structure ?
45.7G
README.md
LostandFoundデータセットは、路上で通常は荷物の落下によって生じる偶発的な小さな障害物を検出する問題を解決します。
このデータセットは112個のステレオビデオシーケンスを含み、2104個の注釈付きフレーム（記録されたデータから約10フレームに1フレームを選択）があります。
データ構造：
| gtCoarse.zip (37MB) 訓練セットとテストセットの注釈 (2104枚の注釈付き画像) |
| leftImg8bit.zip(6GB) 左の8ビット画像 - 訓練セットとテストセット rightImg8bit.zip (6GB) 右の8ビット画像 - 訓練セットとテストセット |
| leftImg16bit.zipl (17GB) 左の16ビット画像 - 訓練セットとテストセット (2104枚の画像) rightImg16bit.zip (17GB) 右の16ビット画像 - 訓練セットとテストセット (2104枚の画像) |
| disparity.zip (1.4GB) 半大域マッチングを用いた深度マップ 訓練セットとテストセット (2104枚の画像) |
| timestamp.tgz (50kB) 訓練セットとテストセットのタイムスタンプ camera.zip (1MB) 訓練セットとテストセットのカメラの内部パラメータと外部パラメータ vehicle.zip (1MB) 訓練セットとテストセットの車両のオドメトリデータ（速度とヨーレート） |
論文引用：
Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester, 「Lost and Found: 自動運転車のための小さな道路障害物の検出」, IROS 2016会議録, 韓国大田. 論文へのリンク
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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.
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- 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.
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