Christ University

CAPSTONE_MINI

Semantic Segmentation

CAPSTONE_MINI 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{
                            capstone_mini_dataset,
                            title = { CAPSTONE_MINI Dataset },
                            type = { Open Source Dataset },
                            author = { Christ University },
                            howpublished = { \url{ https://universe.roboflow.com/christ-university-ey6ms/capstone_mini } },
                            url = { https://universe.roboflow.com/christ-university-ey6ms/capstone_mini },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-05-17 },
                            }
                        

Connect Your Model With Program Logic

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

Last Updated

a year ago

Project Type

Semantic Segmentation

Subject

FullRim-Temple-Coin-Lens

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License

CC BY 4.0

Classes

Coin FullRim Lens Temple