Open Dataset
Data Structure ?
2.12G
Data Structure ?
*The above analysis is the result extracted and analyzed by the system, and the specific actual data shall prevail.
README.md
カリフォルニア工科大学(Caltech)256データセットは、その前身であるCaltech 101データセットの改良版と見なされています。これには、カテゴリサイズの拡大、新しく大きなクラッタカテゴリの追加、全体的な難易度の増加などの新機能が備わっています。これは、視覚認識のモデルを訓練するのに最適なデータセットです。たとえば、クラッタの多い画像の中からカエル、携帯電話、帆船など多くのカテゴリをどのように認識するのでしょうか。また、最初にこれらのカテゴリをどのように学習するのでしょうか。機械に同じ能力を与えることはできるのでしょうか。
内容
このデータセットには257のオブジェクトカテゴリにまたがる30,607枚の画像が含まれています。オブジェクトカテゴリは非常に多様で、バッタから音叉まで幅広いものが含まれています。各カテゴリの画像の分布は以下の通りです。
最小:80
中央値:100
平均:119
最大:827
謝辞
元のデータソースとバナー画像: http://www.vision.caltech.edu/Image_Datasets/Caltech256/
このデータセットを使用する際には、必ず引用するようにしてください。
Griffin, G. Holub, AD. Perona, P.
カリフォルニア工科大学256データセット
カリフォルニア工科大学技術報告書
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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.