उत्तीर्ण

सन्दर्भ:

• कोड
• हगिंगफेस

इस डेटासेट को TFDS में लोड करने के लिए निम्न कमांड का उपयोग करें:

ds = tfds.load('huggingface:pass')

• विवरण :

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.

• लाइसेंस : क्रिएटिव कॉमन्स एट्रिब्यूशन 4.0 इंटरनेशनल
• संस्करण : 1.0.0
• विभाजन :

विभाजित करना	उदाहरण
'train'	1439719

• विशेषताएं :

{
    "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"
    }
}