@huggingface/tasks
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List of ML tasks for huggingface.co/tasks
71 lines (68 loc) • 1.71 kB
text/typescript
import type { TaskDataCustom } from "../index.js";
const taskData: TaskDataCustom = {
datasets: [
{
description: "NYU Depth V2 Dataset: Video dataset containing both RGB and depth sensor data.",
id: "sayakpaul/nyu_depth_v2",
},
{
description: "Monocular depth estimation benchmark based without noise and errors.",
id: "depth-anything/DA-2K",
},
],
demo: {
inputs: [
{
filename: "depth-estimation-input.jpg",
type: "img",
},
],
outputs: [
{
filename: "depth-estimation-output.png",
type: "img",
},
],
},
metrics: [],
models: [
{
description: "Cutting-edge depth estimation model.",
id: "depth-anything/Depth-Anything-V2-Large",
},
{
description: "A strong monocular depth estimation model.",
id: "jingheya/lotus-depth-g-v1-0",
},
{
description: "A depth estimation model that predicts depth in videos.",
id: "tencent/DepthCrafter",
},
{
description: "A robust depth estimation model.",
id: "apple/DepthPro-hf",
},
],
spaces: [
{
description: "An application that predicts the depth of an image and then reconstruct the 3D model as voxels.",
id: "radames/dpt-depth-estimation-3d-voxels",
},
{
description: "An application for bleeding-edge depth estimation.",
id: "akhaliq/depth-pro",
},
{
description: "An application on cutting-edge depth estimation in videos.",
id: "tencent/DepthCrafter",
},
{
description: "A human-centric depth estimation application.",
id: "facebook/sapiens-depth",
},
],
summary: "Depth estimation is the task of predicting depth of the objects present in an image.",
widgetModels: [""],
youtubeId: "",
};
export default taskData;