README.md

metadata

task_categories:
  - object-detection
tags:
  - roboflow
  - roboflow2huggingface
  - Manufacturing
  - Construction
  - Machinery

Dataset Labels

['excavators', 'dump truck', 'wheel loader']

Number of Images

{'test': 144, 'train': 2245, 'valid': 267}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("keremberke/excavator-detector", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0/dataset/3

Citation

@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 2023-01-16 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.ai on April 4, 2022 at 8:56 AM GMT

It includes 2656 images. Excavator 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)

No image augmentation techniques were applied.