Datasets:
Tasks:
Object Detection
Size:
1K - 10K
task_categories: | |
- object-detection | |
tags: | |
- roboflow | |
- roboflow2huggingface | |
- Manufacturing | |
- Construction | |
- Machinery | |
<div align="center"> | |
<img width="640" alt="keremberke/excavator-detector" src="https://huggingface.co/datasets/keremberke/excavator-detector/resolve/main/thumbnail.jpg"> | |
</div> | |
### Dataset Labels | |
``` | |
['excavators', 'dump truck', 'wheel loader'] | |
``` | |
### Number of Images | |
```json | |
{'test': 144, 'train': 2245, 'valid': 267} | |
``` | |
### How to Use | |
- Install [datasets](https://pypi.org/project/datasets/): | |
```bash | |
pip install datasets | |
``` | |
- Load the dataset: | |
```python | |
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](https://universe.roboflow.com/mohamed-sabek-6zmr6/excavators-cwlh0/dataset/3?ref=roboflow2huggingface) | |
### 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. | |