--- task_categories: - object-detection tags: - roboflow - roboflow2huggingface - Manufacturing ---
keremberke/forklift-object-detection
### 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.