README.md

metadata

task_categories:
  - object-detection
tags:
  - roboflow
  - roboflow2huggingface
  - Manufacturing

Dataset Labels

['forklift', 'person']

Number of Images

{'test': 42, 'valid': 84, 'train': 295}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

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

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.