Synthetic Drone Dataset Computer Vision Project
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Description:
Synthetic Drone Dataset is a unique test dataset designed specifically for researchers and developers in the fields of machine learning and computer vision. This data was generated in a matter of hours and exclusively using skinner.ai
Dataset Features:
The dataset includes a multitude of synthetic images of drones in various poses and lighting conditions, providing extensive coverage of possible scenarios. Each image in the dataset is accompanied by precise annotation, including object markup and classification. This allows for efficient use of the dataset for training and testing object recognition algorithms. The dataset is pre-processed and ready for immediate use in machine learning and computer vision models, reducing data preparation time.
Applications:
The Synthetic Drone Dataset is nice for developing and testing algorithms for detection, and classification of objects, as well as for research in autonomous flying vehicles, security, and monitoring. This is a test dataset intended for familiarization and experimentation.
Technical Specifications:
Number of Images: 1000 Image Sizes: 480x480 File Format: JPG, XML Annotation Types: Bounding Boxes
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
synthetic-drone-dataset_dataset,
title = { Synthetic Drone Dataset Dataset },
type = { Open Source Dataset },
author = { Skinner AI },
howpublished = { \url{ https://universe.roboflow.com/skinner-ai/synthetic-drone-dataset } },
url = { https://universe.roboflow.com/skinner-ai/synthetic-drone-dataset },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2024-11-27 },
}