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keremberke/plane-detection

This dataset, exported from roboflow.ai on 30 March 2022 at 15:11 GMT, contains 250 images of airplanes annotated in COCO format. No image augmentations were applied. The task is object detection with the label [planes]; the images are split into training, validation, and test sets.

Updated 1/27/2023
hugging_face

Description

Dataset Overview

Task Category

  • Object Detection

Labels

  • planes

Image Count

  • Test set: 25 images
  • Validation set: 50 images
  • Training set: 175 images

Usage

  1. Install the datasets library: 
    pip install datasets
  2. Load the dataset: 
    from datasets import load_dataset
ds = load_dataset("keremberke/plane-detection", name="full")
example = ds["train"][0]

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

Summary

  • Exported on 30 Mar 2022 via roboflow.ai, 250 images.
  • Airplane annotations in COCO format.
  • No image augmentations applied.

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Topics

Airplane Detection
Machine Learning

Source

Organization: hugging_face

Created: Unknown

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