Datasetpublic

neogpx/constructionxc7c

Dataset Labels ['bulldozer', 'dump truck', 'excavator', 'grader', 'loader', 'mixer truck', 'mobile crane', 'roller'] Number of Images {'valid': 1524, 'test': 757, 'train': 16002} How to Use Install datasets: pip install datasets Load the dataset: from datasets import load_dataset ds = load_dataset("neogpx/constructionxc7c", name="full") example = ds['train'][0] Roboflow Dataset Page… See the full description on the dataset page: https://huggingface.co/datasets/neogpx/constructionxc7c.

sourceHugging Faceupdated 2y agoView on Hugging Face

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Dataset Card

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:

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

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