FASTER RCNN

CrackDetection

Object Detection

CrackDetection 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{
                            crackdetection-i6scg_dataset,
                            title = { CrackDetection Dataset },
                            type = { Open Source Dataset },
                            author = { FASTER RCNN },
                            howpublished = { \url{ https://universe.roboflow.com/faster-rcnn-awzbc/crackdetection-i6scg } },
                            url = { https://universe.roboflow.com/faster-rcnn-awzbc/crackdetection-i6scg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

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

Source

FASTER RCNN

Last Updated

a year ago

Project Type

Object Detection

Subject

aligatorcracks-linearcracks

Views: 34

Views in previous 30 days: 4

Downloads: 1

Downloads in previous 30 days: 0

License

CC BY 4.0

Classes

Aligator-Cracks Bump Cross Walk Blur Longitudinal-Crack Potholes Wheel marks White Line Blur
ROAD-CRACKS
525 images
aligator-cracks-longitudinal
525 images
ROAD-CRACKS
424 images