potholes-detection Computer Vision Project

LZU

Updated a year ago

8

views

1

download
Classes (33)
* 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

A description for this project has not been published yet.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
MIT

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 2024-12-27 },
                            }
                        
                    

Similar Projects

See More