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2 changes: 1 addition & 1 deletion .vscode/settings.json
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"editor.defaultFormatter": "esbenp.prettier-vscode",
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Can you remove this file altogether?

"editor.formatOnSave": true,
"editor.codeActionsOnSave": {
"source.fixAll": true
"source.fixAll": "explicit"
},
"[svelte]": {
"editor.defaultFormatter": "esbenp.prettier-vscode"
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11 changes: 11 additions & 0 deletions packages/tasks/src/tasks/mask-generation/about.md
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## Use Cases

### Medical Imaging

Mask Generation is used in medical imaging in aiding in the segmentation and analysis of specific regions.
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Mask Generation is used in medical imaging in aiding in the segmentation and analysis of specific regions.
Mask generation models are used in medical imaging to aid in segmenting and analyzing specific regions.


### Autonomous Vehicles

Mask Generation is used to create segments and masks for obstacles and other objects in view.
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Mask Generation is used to create segments and masks for obstacles and other objects in view.
Mask generation models are used to create segments and masks for obstacles and other objects in view.


This page was written by [Raj Aryan](https://huggingface.co/thatrajaryan)
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This page was written by [Raj Aryan](https://huggingface.co/thatrajaryan)
This page was made possible thanks to the efforts of [Raj Aryan](https://huggingface.co/thatrajaryan).

39 changes: 39 additions & 0 deletions packages/tasks/src/tasks/mask-generation/data.ts
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import type { TaskDataCustom } from "..";

const taskData: TaskDataCustom = {
datasets: [
{
description: "Widely used benchmark dataset for multiple Vision tasks.",
id: "merve/coco2017",
},
{
description: "Medical Imaging dataset of the Human Brain for segmentation and mask generating tasks",
id: "rocky93/BraTS_segmentation"
}
],
demo: {
inputs: [

],
outputs: [

],
},
metrics: [
{
description:
"IoU is used to measure the overlap between predicted mask and the ground truth mask.",
id: "Intersection over Union (IoU)",
}
],
models: [
],
spaces: [

],
summary:"Mask generation task involves generating masks for meaningful segments in a given image. It could be zero-shot or based on training data.",
widgetModels: [],
youtubeId: "",
};

export default taskData;
7 changes: 7 additions & 0 deletions packages/tasks/src/tasks/text-to-3d/about.md
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## Use Cases

### Prototyping

Text to 3D can help reduce the time and cost of prototyping and making modifications to them.

This page was written by [Raj Aryan](https://huggingface.co/thatrajaryan)
30 changes: 30 additions & 0 deletions packages/tasks/src/tasks/text-to-3d/data.ts
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import type { TaskDataCustom } from "..";

const taskData: TaskDataCustom = {
datasets: [
{
description: "3D-Future is a dataset designed to generate 3D images from textual descriptions.",
id: "3D-Future",
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This dataset isn't on Hugging Face Hub, perhaps you can create the dataset? would be great apparently there's none on Hub and you'd be the first person to add such dataset!

}
],
demo: {
inputs: [

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can you remove these gaps in the empty lists?

],
outputs: [

],
},
metrics: [
],
models: [
],
spaces: [

],
summary:"Text-to-3D is to generate a 3D image from a text prompt. It is similar to generating a 2D image but involves an extended complexity of depth perception.",
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summary:"Text-to-3D is to generate a 3D image from a text prompt. It is similar to generating a 2D image but involves an extended complexity of depth perception.",
summary: "Text-to-3D is the task of generating a 3D image from a text prompt. It is similar to generating a 2D image with an extension of depth perception.",

widgetModels: [],
youtubeId: "",
};

export default taskData;