const taskData = {
    datasets: [
        {
            // TODO write proper description
            description: "Benchmark dataset used for video classification with videos that belong to 400 classes.",
            id: "kinetics400",
        },
    ],
    demo: {
        inputs: [
            {
                filename: "video-classification-input.gif",
                type: "img",
            },
        ],
        outputs: [
            {
                type: "chart",
                data: [
                    {
                        label: "Playing Guitar",
                        score: 0.514,
                    },
                    {
                        label: "Playing Tennis",
                        score: 0.193,
                    },
                    {
                        label: "Cooking",
                        score: 0.068,
                    },
                ],
            },
        ],
    },
    metrics: [
        {
            description: "",
            id: "accuracy",
        },
        {
            description: "",
            id: "recall",
        },
        {
            description: "",
            id: "precision",
        },
        {
            description: "",
            id: "f1",
        },
    ],
    models: [
        {
            // TO DO: write description
            description: "Strong Video Classification model trained on the Kinetics 400 dataset.",
            id: "google/vivit-b-16x2-kinetics400",
        },
        {
            // TO DO: write description
            description: "Strong Video Classification model trained on the Kinetics 400 dataset.",
            id: "microsoft/xclip-base-patch32",
        },
    ],
    spaces: [
        {
            description: "An application that classifies video at different timestamps.",
            id: "nateraw/lavila",
        },
        {
            description: "An application that classifies video.",
            id: "fcakyon/video-classification",
        },
    ],
    summary: "Video classification is the task of assigning a label or class to an entire video. Videos are expected to have only one class for each video. Video classification models take a video as input and return a prediction about which class the video belongs to.",
    widgetModels: [],
    youtubeId: "",
};
export default taskData;
