PESITM

Traffic Signals

Object Detection

Traffic Signals 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{ traffic-signals-kyixo_dataset,
    title = { Traffic Signals Dataset },
    type = { Open Source Dataset },
    author = { PESITM },
    howpublished = { \url{ https://universe.roboflow.com/pesitm-3e3x4/traffic-signals-kyixo } },
    url = { https://universe.roboflow.com/pesitm-3e3x4/traffic-signals-kyixo },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { sep },
    note = { visited on 2023-12-05 },
}

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

Source

PESITM

Last Updated

3 months ago

Project Type

Object Detection

Subject

traffic-signal

Classes

50-max-speed, cross road, danger, direction-board, fuel-station, gap-in-median, go-slow, hospital, inclined, intersection, ledt-turn, left intersection, left-curve, max-speed, narrow bridge, narrow road ahead, no u-turn, no-left curve, no-parking, no-pedestrian, no-stopping, parking, pedestrian, right-curve, roundabout-ahead, school, speed brakers, stop, traffic signal, traffic-signal, zig-zag road

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License

CC BY 4.0