| --- |
| 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. |
|
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|
