---
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface

---

<div align="center">
  <img width="640" alt="neogpx/constructionxc7c" src="https://huggingface.co/datasets/neogpx/constructionxc7c/resolve/main/thumbnail.jpg">
</div>

### Dataset Labels

```
['bulldozer', 'dump truck', 'excavator', 'grader', 'loader', 'mixer truck', 'mobile crane', 'roller']
```


### Number of Images

```json
{'valid': 1524, 'test': 757, 'train': 16002}
```


### 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("neogpx/constructionxc7c", name="full")
example = ds['train'][0]
```

### Roboflow Dataset Page
[https://universe.roboflow.com/capstone-lkzgq/construction-vehicle-detection-pxc7c/dataset/2
](https://universe.roboflow.com/capstone-lkzgq/construction-vehicle-detection-pxc7c/dataset/2
?ref=roboflow2huggingface)

### Citation

```
@misc{
                            construction-vehicle-detection-pxc7c_dataset,
                            title = { Construction Vehicle Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Capstone },
                            howpublished = { \\url{ https://universe.roboflow.com/capstone-lkzgq/construction-vehicle-detection-pxc7c } },
                            url = { https://universe.roboflow.com/capstone-lkzgq/construction-vehicle-detection-pxc7c },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2025-02-11 },
                            }
```

### License
CC BY 4.0

### Dataset Summary
This dataset was exported via roboflow.com on July 17, 2023 at 7:32 AM 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 18283 images.
Construction-utility-vechicles are annotated in COCO format.

The following pre-processing was applied to each image:
* Auto-orientation of pixel data (with EXIF-orientation stripping)
* Resize to 640x640 (Stretch)

The following augmentation was applied to create 3 versions of each source image:
* Randomly crop between 0 and 20 percent of the image
* Random rotation of between -20 and +20 degrees
* Salt and pepper noise was applied to 5 percent of pixels