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interiors

Semantic Segmentation

interiors Computer Vision Project

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Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            interiors_dataset,
                            title = { interiors Dataset },
                            type = { Open Source Dataset },
                            author = { home },
                            howpublished = { \url{ https://universe.roboflow.com/home-jt4re/interiors } },
                            url = { https://universe.roboflow.com/home-jt4re/interiors },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jun },
                            note = { visited on 2024-07-02 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the interiors project in your project.

Source

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Last Updated

2 days ago

Project Type

Semantic Segmentation

Subject

stuffs-xJpn

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Classes

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stuffs
699 images
countertop-wall-floor-cabinet
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something-nothing
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k
object
2727 images