3classes-BIRDS-drones-FIGHTERJ

Object Detection

3classes-BIRDS-drones-FIGHTERJ Computer Vision Project

donia

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Description

The dataset was created by aggregating images and classes from multiple sources to form a diverse and robust collection for research and development purposes. The dataset includes the following contributions:

  • Bird and Drone Classes: Source: Project DDrone - DatasetDrone

    Contribution: Images and classes for both bird and drone categories were extracted and included.

  • Main Birds Dataset: Source: Main Birds Dataset

    Contribution: An additional 1600 bird images were incorporated to enhance the dataset's variety and richness.

  • Bird Images: Source: Bird Dataset by Yesmin

    Contribution: A total of 996 bird images were integrated into the dataset.

These images were integrated to ensure balanced classes, providing a comprehensive collection of images focusing on birds and drones. This makes the dataset suitable for various applications such as object detection, classification, and machine learning model training.

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Cite This Project

LICENSE
ODbL v1.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            3classes-birds-drones-fighterj_dataset,
                            title = { 3classes-BIRDS-drones-FIGHTERJ Dataset },
                            type = { Open Source Dataset },
                            author = { donia },
                            howpublished = { \url{ https://universe.roboflow.com/donia-fn2nu/3classes-birds-drones-fighterj } },
                            url = { https://universe.roboflow.com/donia-fn2nu/3classes-birds-drones-fighterj },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2025 },
                            month = { mar },
                            note = { visited on 2025-06-23 },
                            }
                        
                    

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