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.