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7 changes: 7 additions & 0 deletions packages/tasks/src/tasks/mask-generation/about.md
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## About the Task

Mask Generation task involves generating masks/segments for objects in a given image. It could be zero shot or based on training data.
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Mask Generation task involves generating masks/segments for objects in a given image. It could be zero shot or based on training data.
Mask generation task involves generating masks for meaningful segments in a given image. It could be zero-shot or based on training data.


## Use Cases

Mask Generation has promising use cases in Medical Imaging, Autonomous Vehicles, Robotics, etc.
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In this section we expect to have multiple headers for each use case.

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7 changes: 7 additions & 0 deletions packages/tasks/src/tasks/text-to-3d/about.md
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## About the Task
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No need to add, we add this in summary


Text to 3D is a Generative task of generating a 3d image from a given text prompt. It is similar to generating a 2d image but involves an extended complexity of depth perception.
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You can add this in summary in data.ts

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Text to 3D is a Generative task of generating a 3d image from a given text prompt. It is similar to generating a 2d image but involves an extended complexity of depth perception.
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.


## Use Cases

Text to 3d has various creative and experimental use cases like setting up virtual experiments and simulations.
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Same comment applies here

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7 changes: 7 additions & 0 deletions packages/tasks/src/tasks/zero-shot-object-detection/about.md
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## About the Task
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This page is already contributed in another PR, so if you feel like contributing it, you can open PR to that branch as that one is more extensive


Zero-Shot Object detection is an object detection task where no visual training data is available for certain target objects. it aims to identify objects with classes that the model has not seen before.

## Use Cases

Zero-Shot Object Detection can be used in cases where little to no training data is available for certin object classes.
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