दृश्य_जीनोम

सन्दर्भ:

• कोड
• गले लगाना

क्षेत्र_विवरण_v1.0.0

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

ds = tfds.load('huggingface:visual_genome/region_descriptions_v1.0.0')

• विवरण :

Visual Genome enable to model objects and relationships between objects.
They collect dense annotations of objects, attributes, and relationships within each image.
Specifically, the dataset contains over 108K images where each image has an average of 35 objects, 26 attributes, and 21 pairwise relationships between objects.

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

विभाजित करना	उदाहरण
'train'	108077

• विशेषताएँ :

{
    "image": {
        "decode": true,
        "id": null,
        "_type": "Image"
    },
    "image_id": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "url": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "width": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "height": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "coco_id": {
        "dtype": "int64",
        "id": null,
        "_type": "Value"
    },
    "flickr_id": {
        "dtype": "int64",
        "id": null,
        "_type": "Value"
    },
    "regions": [
        {
            "region_id": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "image_id": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "phrase": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "x": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "y": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "width": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "height": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        }
    ]
}