metadata
task_categories:
- object-detection
tags:
- roboflow
- roboflow2huggingface
Dataset Labels
['helmet', 'helmet-blurred', 'helmet-difficult', 'helmet-partial', 'helmet-sideline']
Number of Images
{'valid': 1989, 'train': 6963, 'test': 995}
How to Use
- Install datasets:
pip install datasets
- Load the dataset:
from datasets import load_dataset
ds = load_dataset("keremberke/nfl-object-detection", name="full")
example = ds['train'][0]
Roboflow Dataset Page
https://universe.roboflow.com/home-mxzv1/nfl-competition/dataset/1
Citation
@misc{ nfl-competition_dataset,
title = { NFL-competition Dataset },
type = { Open Source Dataset },
author = { home },
howpublished = { \\url{ https://universe.roboflow.com/home-mxzv1/nfl-competition } },
url = { https://universe.roboflow.com/home-mxzv1/nfl-competition },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { sep },
note = { visited on 2023-01-18 },
}
License
Public Domain
Dataset Summary
This dataset was exported via roboflow.com on December 29, 2022 at 8:12 PM GMT
Roboflow is an end-to-end computer vision platform that helps you
- collaborate with your team on computer vision projects
- collect & organize images
- understand unstructured image data
- annotate, and create datasets
- export, train, and deploy computer vision models
- use active learning to improve your dataset over time
It includes 9947 images. Helmets 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 1280x720 (Stretch)
No image augmentation techniques were applied.