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📝 Update Mask Generation Task #432
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| ## About the Task | ||||||
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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. | ||||||
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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. |
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In this section we expect to have multiple headers for each use case.
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| ## About the Task | ||||||
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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. | ||||||
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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. |
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Same comment applies here
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| ## About the Task | ||
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| 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. | ||
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| ## Use Cases | ||
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| 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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