Roboflow Universe lieuphung aerial_2023_06_s1.4

aerial_2023_06_s1.4 Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

214 images

Explore Dataset

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{ aerial_2023_06_s1.4_dataset,
    title = { aerial_2023_06_s1.4 Dataset },
    type = { Open Source Dataset },
    author = { lieuphung },
    howpublished = { \url{ https://universe.roboflow.com/lieuphung-oo6w7/aerial_2023_06_s1.4 } },
    url = { https://universe.roboflow.com/lieuphung-oo6w7/aerial_2023_06_s1.4 },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { oct },
    note = { visited on 2023-12-06 },
}

Connect your model with program logic

Find utilities and guides to help you start using the aerial_2023_06_s1.4 project in your project.

supervision

Find utilities to work with this project in Python.

Roboflow Learn

Build the knowledge you need to evaluate and deploy your model.

Source

lieuphung

Last Updated

a month ago

Project Type

Object Detection

Subject

house

Classes

2-floor, 3-floor, 4-floor, 5-floor, aged_10, aged_20, aged_30, apartment, asphalt_shingle, block, brick, car, car_lot, carport, color_vest, corruption, dirt, dirty, fence, flat, garden, house, kawara, mansion, metal, mortar, multi-floor, rebar, roof, rooftop, siding, slate_single, solar, stone, total_house, tree, triangle, vacant_lot, wooden