keremberke/nfl-object-detection

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.