Roboflow Universe Mohamed Sabek Excavators

Excavators Computer Vision Project

Download this Dataset Try Pre-Trained Model

TRY THIS MODEL

Drop an image or

browse your device

Images

2655 images

Explore Dataset

This project is trying to create an efficient computer or machine vision model to detect different kinds of construction equipment in construction sites and we are starting with three classes which are excavators, trucks, and wheel loaders.

The dataset is provided by Mohamed Sabek, a Spring 2022 Master of Science graduate from Arizona State University in Construction Management and Technology.

The raw images (v1) contains:

1,532 annotated examples of "excavators"
1,269 annotated examples of "dump truck"
1,080 annotated examples of "wheel loader"

Note: versions 2 and 3 (v2 and v3) contain the raw images resized at 416 by 416 (stretch to) and 640 by 640 (stretch to) without any augmentations.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            excavators-cwlh0_dataset,
                            title = { Excavators Dataset },
                            type = { Open Source Dataset },
                            author = { Mohamed Sabek },
                            howpublished = { \url{ https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0 } },
                            url = { https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-04-24 },
                            }