Design

Toyota_Challenge

Object Detection

Toyota_Challenge 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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite this Project

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

@misc{ toyota_challenge_dataset,
    title = { Toyota_Challenge Dataset },
    type = { Open Source Dataset },
    author = { Design },
    howpublished = { \url{ https://universe.roboflow.com/design-ntgfq/toyota_challenge } },
    url = { https://universe.roboflow.com/design-ntgfq/toyota_challenge },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2023 },
    month = { oct },
    note = { visited on 2023-12-08 },
}

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Source

Design

Last Updated

a month ago

Project Type

Object Detection

Subject

holes

Classes

covered-hole, partially-covered-hole, uncovered-hole

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Downloads: 6

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License

CC BY 4.0