Jacks Workspace

indoor

Semantic Segmentation

1

indoor 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{
                            indoor-6p7hl_dataset,
                            title = { indoor Dataset },
                            type = { Open Source Dataset },
                            author = { Jacks Workspace },
                            howpublished = { \url{ https://universe.roboflow.com/jacks-workspace/indoor-6p7hl } },
                            url = { https://universe.roboflow.com/jacks-workspace/indoor-6p7hl },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-03-03 },
                            }
                        

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

Last Updated

6 months ago

Project Type

Semantic Segmentation

Subject

indoor

Classes

Bowling Pins French bread French breads bar basket billboard book bookcase books books occluded bottle bottles bowling alley bread rolls cakes ceiling check-in-desck clock clothes column column occluded desk occluded door floor french bread glass wall handrail lamp loaf loaf bread loafs notebook notebooks package people person crop person occluded person sitting person sitting occluded person standin person standing person standing crop person standing occluded person walking plank plant pot price purse screen shelf shelves shelves crop showcase sign staircase stand stool stool crop suitcase table table occluded text tray trolley trolley occluded wall water bottle window window occluded

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License

CC BY 4.0