проходить

Ссылки:

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

ds = tfds.load('huggingface:pass')
  • Описание :
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.
  • Лицензия : Creative Commons Attribution 4.0 Международная.
  • Версия : 1.0.0
  • Расколы :
Расколоть Примеры
'train' 1439719
  • Функции :
{
    "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"
    }
}