合格

参考文献:

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:pass')
  • 説明： 
PASS (Pictures without humAns for Self-Supervision) is a large-scale dataset of 1,440,191 images that does not include any humans
and which can be used for high-quality pretraining while significantly reducing privacy concerns.
The PASS images are sourced from the YFCC-100M dataset.
  • ライセンス: クリエイティブ・コモンズ 表示 4.0 インターナショナル
  • バージョン: 1.0.0
  • 分割:
スプリット例
'train' 1439719
  • 特徴： 
{
    "image": {
        "id": null,
        "_type": "Image"
    },
    "creator_username": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "hash": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "gps_latitude": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "gps_longitude": {
        "dtype": "float32",
        "id": null,
        "_type": "Value"
    },
    "date_taken": {
        "dtype": "timestamp[us]",
        "id": null,
        "_type": "Value"
    }
}