@huggingface/tasks
Version:
List of ML tasks for huggingface.co/tasks
76 lines (73 loc) • 1.64 kB
text/typescript
import type { TaskDataCustom } from "../index.js";
const taskData: TaskDataCustom = {
datasets: [
{
description: "A large dataset of over 10 million 3D objects.",
id: "allenai/objaverse-xl",
},
{
description: "A dataset of isolated object images for evaluating image-to-3D models.",
id: "dylanebert/iso3d",
},
],
demo: {
inputs: [
{
filename: "image-to-3d-image-input.png",
type: "img",
},
],
outputs: [
{
label: "Result",
content: "image-to-3d-3d-output-filename.glb",
type: "text",
},
],
},
metrics: [],
models: [
{
description: "Fast image-to-3D mesh model by Tencent.",
id: "TencentARC/InstantMesh",
},
{
description: "Fast image-to-3D mesh model by StabilityAI",
id: "stabilityai/TripoSR",
},
{
description: "A scaled up image-to-3D mesh model derived from TripoSR.",
id: "hwjiang/Real3D",
},
{
description: "Consistent image-to-3d generation model.",
id: "stabilityai/stable-point-aware-3d",
},
],
spaces: [
{
description: "Leaderboard to evaluate image-to-3D models.",
id: "dylanebert/3d-arena",
},
{
description: "Image-to-3D demo with mesh outputs.",
id: "TencentARC/InstantMesh",
},
{
description: "Image-to-3D demo.",
id: "stabilityai/stable-point-aware-3d",
},
{
description: "Image-to-3D demo with mesh outputs.",
id: "hwjiang/Real3D",
},
{
description: "Image-to-3D demo with splat outputs.",
id: "dylanebert/LGM-mini",
},
],
summary: "Image-to-3D models take in image input and produce 3D output.",
widgetModels: [],
youtubeId: "",
};
export default taskData;