Excavators Computer Vision Project

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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. 1,532 annotated examples of "excavators"
  2. 1,269 annotated examples of "dump truck"
  3. 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.

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 = { jul },
    note = { visited on 2022-10-05 },
}

Source

Mohamed Sabek

Last Updated

3 months ago

Project Type

Object Detection

Subject

excavator

Classes

EXCAVATORS, dump truck, wheel loader

License

CC BY 4.0