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import type { TaskDataCustom } from "../Types";
const taskData: TaskDataCustom = {
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 Kinects 400 dataset.",
id: "MCG-NJU/videomae-base-finetuned-kinetics",
},
{
// TO DO: write description
description: "Strong Video Classification model trained on the Kinects 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;
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