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.