|
--- |
|
task_categories: |
|
- object-detection |
|
tags: |
|
- roboflow |
|
- roboflow2huggingface |
|
- Manufacturing |
|
--- |
|
|
|
<div align="center"> |
|
<img width="640" alt="keremberke/forklift-object-detection" src="https://huggingface.co/datasets/keremberke/forklift-object-detection/resolve/main/thumbnail.jpg"> |
|
</div> |
|
|
|
### Dataset Labels |
|
|
|
``` |
|
['forklift', 'person'] |
|
``` |
|
|
|
|
|
### Number of Images |
|
|
|
```json |
|
{'test': 42, 'valid': 84, 'train': 295} |
|
``` |
|
|
|
|
|
### 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/forklift-object-detection", name="full") |
|
example = ds['train'][0] |
|
``` |
|
|
|
### Roboflow Dataset Page |
|
[https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv/dataset/1](https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv/dataset/1?ref=roboflow2huggingface) |
|
|
|
### Citation |
|
|
|
``` |
|
@misc{ forklift-dsitv_dataset, |
|
title = { Forklift Dataset }, |
|
type = { Open Source Dataset }, |
|
author = { Mohamed Traore }, |
|
howpublished = { \\url{ https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv } }, |
|
url = { https://universe.roboflow.com/mohamed-traore-2ekkp/forklift-dsitv }, |
|
journal = { Roboflow Universe }, |
|
publisher = { Roboflow }, |
|
year = { 2022 }, |
|
month = { mar }, |
|
note = { visited on 2023-01-15 }, |
|
} |
|
``` |
|
|
|
### License |
|
CC BY 4.0 |
|
|
|
### Dataset Summary |
|
This dataset was exported via roboflow.ai on April 3, 2022 at 9:01 PM GMT |
|
|
|
It includes 421 images. |
|
Forklift are annotated in COCO format. |
|
|
|
The following pre-processing was applied to each image: |
|
* Auto-orientation of pixel data (with EXIF-orientation stripping) |
|
|
|
No image augmentation techniques were applied. |
|
|
|
|
|
|
|
|
