rvl_cdip

참조:

다음 명령을 사용하여 TFDS에서 이 데이터세트를 로드합니다.

ds = tfds.load('huggingface:rvl_cdip')
  • 설명 :
The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images.
나뉘다
'test' 40000
'train' 320000
'validation' 40000
  • 특징 :
{
    "image": {
        "decode": true,
        "id": null,
        "_type": "Image"
    },
    "label": {
        "num_classes": 16,
        "names": [
            "letter",
            "form",
            "email",
            "handwritten",
            "advertisement",
            "scientific report",
            "scientific publication",
            "specification",
            "file folder",
            "news article",
            "budget",
            "invoice",
            "presentation",
            "questionnaire",
            "resume",
            "memo"
        ],
        "id": null,
        "_type": "ClassLabel"
    }
}