README.md

metadata

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

Dataset Labels

['planes']

Number of Images

{'test': 25, 'valid': 50, 'train': 175}

How to Use

• Install datasets:

pip install datasets

• Load the dataset:

from datasets import load_dataset

ds = load_dataset("keremberke/plane-detection", name="full")
example = ds['train'][0]

Roboflow Dataset Page

https://universe.roboflow.com/skybot-cam/overhead-plane-detector/dataset/4

Citation

@misc{ overhead-plane-detector_dataset,
    title = { Overhead Plane Detector Dataset },
    type = { Open Source Dataset },
    author = { SkyBot Cam },
    howpublished = { \\url{ https://universe.roboflow.com/skybot-cam/overhead-plane-detector } },
    url = { https://universe.roboflow.com/skybot-cam/overhead-plane-detector },
    journal = { Roboflow Universe },
    publisher = { Roboflow },
    year = { 2022 },
    month = { jan },
    note = { visited on 2023-01-27 },
}

License

CC BY 4.0

Dataset Summary

This dataset was exported via roboflow.ai on March 30, 2022 at 3:11 PM GMT

It includes 250 images. Planes are annotated in COCO format.

The following pre-processing was applied to each image:

No image augmentation techniques were applied.