train.yaml

$dsdl-version: "0.5.0"
$import:
    - ../defs/obejct-detection-def
    - ../defs/class-domain
meta:
    dataset_name: "COCO2017"
    sub_dataset_name: "train"
    dataset_homepage: "https://cocodataset.org/#home"
    OpenDataLab_adress: "https://opendatalab.com/COCO_2017"
    dataset_publisher: "微软"
    task: "Detection"
    description: "COCO 2017 Dataset"
    url: "http://cocodataset.org"
    version: "1.0"
    year: 2017
    contributor: "COCO Consortium"
    date_created: "2017/09/01"
    licenses:
        1:
            url: "http://creativecommons.org/licenses/by-nc-sa/2.0/"
            id: 1
            name: "Attribution-NonCommercial-ShareAlike License"
        2:
            url: "http://creativecommons.org/licenses/by-nc/2.0/"
            id: 2
            name: "Attribution-NonCommercial License"
        3:
            url: "http://creativecommons.org/licenses/by-nc-nd/2.0/"
            id: 3
            name: "Attribution-NonCommercial-NoDerivs License"
        4:
            url: "http://creativecommons.org/licenses/by/2.0/"
            id: 4
            name: "Attribution License"
        5:
            url: "http://creativecommons.org/licenses/by-sa/2.0/"
            id: 5
            name: "Attribution-ShareAlike License"
        6:
            url: "http://creativecommons.org/licenses/by-nd/2.0/"
            id: 6
            name: "Attribution-NoDerivs License"
        7:
            url: "http://flickr.com/commons/usage/"
            id: 7
            name: "No known copyright restrictions"
        8:
            url: "http://www.usa.gov/copyright.shtml"
            id: 8
            name: "United States Government Work"
data:
    sample-path: train_samples.json
    sample-type: ObjectDetectionSample[cdom=COCO2017ClassDomain]