Datasets:
Tasks:
Image Segmentation
Size:
< 1K
task_categories: | |
- image-segmentation | |
tags: | |
- roboflow | |
- roboflow2huggingface | |
- Construction | |
- Self Driving | |
- Transportation | |
- Damage Risk | |
<div align="center"> | |
<img width="640" alt="keremberke/pothole-segmentation" src="https://huggingface.co/datasets/keremberke/pothole-segmentation/resolve/main/thumbnail.jpg"> | |
</div> | |
### Dataset Labels | |
``` | |
['pothole'] | |
``` | |
### Number of Images | |
```json | |
{'test': 5, 'train': 80, 'valid': 5} | |
``` | |
### How to Use | |
- Install [datasets](https://pypi.org/project/datasets/): | |
```bash | |
pip install datasets | |
``` | |
- Load the dataset: | |
```python | |
from datasets import load_dataset | |
ds = load_dataset("keremberke/pothole-segmentation", name="full") | |
example = ds['train'][0] | |
``` | |
### Roboflow Dataset Page | |
[https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9/dataset/4](https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9/dataset/4?ref=roboflow2huggingface) | |
### Citation | |
``` | |
@misc{ pothole-detection-irkz9_dataset, | |
title = { Pothole Detection Dataset }, | |
type = { Open Source Dataset }, | |
author = { IMACS Pothole Detection }, | |
howpublished = { \\url{ https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9 } }, | |
url = { https://universe.roboflow.com/imacs-pothole-detection-wo8mu/pothole-detection-irkz9 }, | |
journal = { Roboflow Universe }, | |
publisher = { Roboflow }, | |
year = { 2023 }, | |
month = { jan }, | |
note = { visited on 2023-01-15 }, | |
} | |
``` | |
### License | |
CC BY 4.0 | |
### Dataset Summary | |
This dataset was exported via roboflow.com on January 15, 2023 at 6:38 PM GMT | |
Roboflow is an end-to-end computer vision platform that helps you | |
* collaborate with your team on computer vision projects | |
* collect & organize images | |
* understand and search unstructured image data | |
* annotate, and create datasets | |
* export, train, and deploy computer vision models | |
* use active learning to improve your dataset over time | |
For state of the art Computer Vision training notebooks you can use with this dataset, | |
visit https://github.com/roboflow/notebooks | |
To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com | |
The dataset includes 90 images. | |
Pothole are annotated in COCO format. | |
The following pre-processing was applied to each image: | |
No image augmentation techniques were applied. | |