metadata.json

{
    "title": "Train an underwater-noise-classification (VLIZ)",
    "summary": "Train your own underwater-noise-classifier with your custom dataset to idenity ships  ",
    "description": [""],
    "keywords": [
        "tensorflow", "docker", "deep learning", "trainable", "inference", "pre-trained", "api-v2", "underwater-noise", "vo.imagine-ai.eu"
    ],
    "license": "MIT",
    "cite_url": "https://arxiv.org/pdf/1803.02353.pdf",
    "dataset_url": "https://research.google.com/audioset",
    "training_files_url": "https://cephrgw01.ifca.es:8080/swift/v1/underwater-noise-classification/",
    "date_creation": "2023-12-05",
    "sources": {
		"dockerfile_repo": "https://github.com/lifewatch/DEEP-OC-underwater-noise-classification",
		"docker_registry_repo": "deephdc/deep-oc-underwater-noise-classification",
		"code": "http://github.com/lifewatch/underwater-noise-classification"
	},
    "continuous_integration": {
        "build_status_badge": "https://jenkins.indigo-datacloud.eu/buildStatus/icon?job=Pipeline-as-code/UC-lifewatch-DEEP-OC-org/DEEP-OC-underwater-noise-classification/master",
        "build_status_url": "https://jenkins.indigo-datacloud.eu/job/Pipeline-as-code/job/DEEP-OC-org/job/UC-lifewatch-DEEP-OC-underwater-noise-classification/job/master"
    },
    "tosca": [
        {
            "title": "Marathon default",
            "url": "https://raw.githubusercontent.com/indigo-dc/tosca-templates/master/deep-oc/deep-oc-marathon-webdav.yml",
            "inputs": [
                "rclone_conf",
                "rclone_url",
                "rclone_vendor",
                "rclone_user",
                "rclone_pass"
            ]
        }
    ]
}