Roboflow Universe LZU potholes-detection

potholes-detection Computer Vision Project

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200 images

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

@misc{
                            potholes-detection-xpwyk_dataset,
                            title = { potholes-detection Dataset },
                            type = { Open Source Dataset },
                            author = { LZU },
                            howpublished = { \url{ https://universe.roboflow.com/lzu/potholes-detection-xpwyk } },
                            url = { https://universe.roboflow.com/lzu/potholes-detection-xpwyk },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-06-18 },
                            }

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Source

LZU

Last Updated

8 months ago

Project Type

Object Detection

Subject

potholes

Views: 8

Downloads: 1

License

MIT

Classes

* annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 17 18 20 21 23 24 25 26 27 ============================== Car are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, No image augmentation techniques were applied. Roboflow is an end-to-end computer vision platform that helps you The dataset includes 205 images. The following pre-processing was applied to each image: This dataset was exported via roboflow.com on October 29, 2023 at 4:59 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com car dataAA - v1 2023-10-30 12:56am line mark_word pothole potholes shoe shovel visit https://github.com/roboflow/notebooks

Object Detection