UISMI Computer Vision Project

UISMI

Updated 2 years ago

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Classes (2)
growth
rust
Description

Here are a few use cases for this project:

  1. Coral Reef Health Monitoring: UISMI can be used by marine biologists and researchers to monitor the health of coral reefs over time. The model could provide categorizations of growth and rust, helping them understand the impact of certain environmental conditions.

  2. Environmental Studies: This computer vision model can be used to identify and study the growth and decay patterns of different biological samples, assisting in fields like ecology, botany, and climate change research.

  3. Agricultural Use: Researchers and farmers can use this model to identify growth and rust in crops. The insights gathered can be utilized to improve crop health and increase yield.

  4. Maintenance and Restoration of Monuments: The model might prove beneficial for identifying the growth of rust and corrosion on metallic structures and monuments. This way, early interventions can be initiated, preventing further decay.

  5. Industrial Inspection: Industries that rely heavily on infrastructure (oil, gas, shipping, etc.) can use UISMI to identify early stages of rust or corrosion on their infrastructures, allowing them time to address issues and prevent potential failures or accidents.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            uismi_dataset,
                            title = { UISMI Dataset },
                            type = { Open Source Dataset },
                            author = { UISMI },
                            howpublished = { \url{ https://universe.roboflow.com/uismi-qecgd/uismi } },
                            url = { https://universe.roboflow.com/uismi-qecgd/uismi },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-12-03 },
                            }