Open Dataset
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
CIFAR - 10データは、10クラスに分かれた60,000枚の32x32カラー画像で構成されており、クラスごとに6000枚の画像があります。公式データには50,000枚の訓練画像と10,000枚のテスト画像があります。私たちは元のデータセットの訓練/テスト分割を維持しています。提供されるファイルは以下の通りです。
train_images.npy - numpy形式の訓練画像を含むフォルダ
test_images.npy - numpy形式のテスト画像を含むフォルダ
train_labels.csv - 訓練ラベル
sample_submission.csv - テストデータの予測ラベルを提出する方法のサンプル
特定の不正行為(手動ラベリングなど)を防ぐために、テストセットに190,000枚の迷惑画像を追加しました。これらの画像はスコアリングでは無視されます。また、公式の10,000枚のテスト画像に些細な変更を加え、ファイルハッシュで検索できないようにしました。これらの変更はスコアリングに大きな影響を与えることはありません。あなたはすべての200,000枚の画像に対してラベルを予測する必要があります。
データセットのラベルクラスは以下の通りです。
(飛行機 - 自動車 - 鳥 - 猫 - 鹿 - 犬 - カエル - 馬 - 船 - トラック)
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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.