dtction crdrs ptncls msqts Object Detection Dataset and Pre-Trained Model by imgnsparadtcpcm

Images

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Explore Dataset

Here are a few use cases for this project:

Urban Planning: Urban planners and architects could use this model to identify different objects in urban landscapes and plan development accordingly. By identifying objects like buckets (cubetas), plants in pots (maceta), tires (llanta), water tanks (tinaco), sinks/basins (pileta), or toilets (wc), planners can assess usage patterns and types of items in particular areas.
Waste Management: The system can be leveraged to navigate and plan waste collection routes, especially in urban spaces. By identifying items like buckets, water tanks, potted plants, tires, basins, and toilets, it can help discern the types of waste that might be found in certain areas.
Infrastructure Maintenance: For city councils or maintenance departments, this model can help identify items on rooftops or other hard-to-access areas which may need maintenance or replacement (like water tanks, basins, toilets).
Environment Research: Environmental researchers could use this model to study the impact of urban objects on local ecology. By identifying objects like buckets, plant pots, tires, water tanks, basins, or toilets, the model can contribute to studies on microclimates or urban heat island effects.
Urban Art Projects: Artists and designers working on urban art projects could use this mode to scout locations and objects for their works. The model can help artists find interesting urban objects (like buckets, water tanks, potted plants, tires, basins, toilets) that they can integrate into their artworks.

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{
                            dtction-crdrs-ptncls-msqts_dataset,
                            title = { dtction crdrs ptncls msqts Dataset },
                            type = { Open Source Dataset },
                            author = { imgnsparadtcpcm },
                            howpublished = { \url{ https://universe.roboflow.com/imgnsparadtcpcm/dtction-crdrs-ptncls-msqts } },
                            url = { https://universe.roboflow.com/imgnsparadtcpcm/dtction-crdrs-ptncls-msqts },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-05-09 },
                            }