Drone-Bird-Detection Computer Vision Project
Updated 3 days ago
Metrics
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.
Use This Trained Model
Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.
Build Computer Vision Applications Faster with Supervision
Visualize and process your model results with our reusable computer vision tools.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
drone-bird-detection-3nl79_dataset,
title = { Drone-Bird-Detection Dataset },
type = { Open Source Dataset },
author = { MyWorkspace },
howpublished = { \url{ https://universe.roboflow.com/myworkspace-0p4nk/drone-bird-detection-3nl79 } },
url = { https://universe.roboflow.com/myworkspace-0p4nk/drone-bird-detection-3nl79 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { dec },
note = { visited on 2024-12-22 },
}