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A dataset of labeled drone images from diverse sources, aimed at training robust drone detection models.

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Drone Detection Dataset

Welcome to the Drone Detection Dataset repository! This collection has been meticulously curated to provide a comprehensive dataset for drone detection tasks. Here you will find approximately 4,230 labeled images of drones sourced from two major datasets:

  1. Kaggle - Drone Dataset: This set includes a diverse range of drone images that have been gathered and labeled for object detection. For more information and to download the data, visit Kaggle Drone Dataset by Mehdi …zel.

  2. Mendeley - Drone Dataset: A rich dataset from Mendeley that features labeled drone images suitable for various detection algorithms. For additional details and to access this dataset, go to Mendeley Drone Dataset.

The datasets have been organized into two separate folders within this repository for your convenience:

  • Kaggle - Drone Dataset
  • Mendeley - Drone Dataset

Visual Overview

Drone Images

Above is a 10x10 grid visual representation featuring a selection of 100 images randomly chosen from the combined dataset to give you a glimpse into the variety and complexity of the drone images included.

Dataset Structure

The repository is structured as follows:

/drone-detection-dataset
    /Kaggle - Drone Dataset
    /Mendeley - Drone Dataset

Usage

This dataset is intended for use in machine learning models and algorithms focused on drone detection. Whether you are developing real-time detection systems or conducting research in the field of aerial surveillance, this dataset is equipped to provide a significant variety and volume of drone images to test and train your models.

Contribution

Contributions to this dataset are welcome. If you have a collection of labeled drone images that you would like to share, please open a pull request with your proposed additions.

Thank you for visiting this repository, and we hope it serves as a valuable resource for your drone detection endeavors!

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A dataset of labeled drone images from diverse sources, aimed at training robust drone detection models.

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