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inference-widgets
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import type { TaskDataCustom } from "../Types";

const taskData: TaskDataCustom = {
	datasets: [
		{
			// TODO write proper description
			description: "Benchmark dataset used for image classification with images that belong to 100 classes.",
			id: "cifar100",
		},
		{
			// TODO write proper description
			description: "Dataset consisting of images of garments.",
			id: "fashion_mnist",
		},
	],
	demo: {
		inputs: [
			{
				filename: "image-classification-input.jpeg",
				type: "img",
			},
		],
		outputs: [
			{
				type: "chart",
				data: [
					{
						label: "Egyptian cat",
						score: 0.514,
					},
					{
						label: "Tabby cat",
						score: 0.193,
					},
					{
						label: "Tiger cat",
						score: 0.068,
					},
				],
			},
		],
	},
	metrics: [
		{
			description: "",
			id: "accuracy",
		},
		{
			description: "",
			id: "recall",
		},
		{
			description: "",
			id: "precision",
		},
		{
			description: "",
			id: "f1",
		},
	],
	models: [
		{
			description: "A strong image classification model.",
			id: "google/vit-base-patch16-224",
		},
		{
			description: "A robust image classification model.",
			id: "facebook/deit-base-distilled-patch16-224",
		},
		{
			description: "A strong image classification model.",
			id: "facebook/convnext-large-224",
		},
	],
	spaces: [
		{
			// TO DO: write description
			description: "An application that classifies what a given image is about.",
			id: "nielsr/perceiver-image-classification",
		},
	],
	summary:
		"Image classification is the task of assigning a label or class to an entire image. Images are expected to have only one class for each image. Image classification models take an image as input and return a prediction about which class the image belongs to.",
	widgetModels: ["google/vit-base-patch16-224"],
	youtubeId: "tjAIM7BOYhw",
};

export default taskData;