Small_BirDrone Computer Vision Project
Updated 3 months ago
2970 total images containing both drones and birds and has a variation of backgrounds and lighting. 80% for training, 2373 images and 20% for validation, 597 images were splitted. 1416 images of drones and 139 images of drones have the same resolution of images which are 640 x 640 pixels. The smallest annotation bounding box which represent the size of targeted object is 7 x 14 pixels, while the largest one is 65 x 182 pixels.
This dataset is a collection from many datasets to increase the small images of drones and birds. Thid dataset is used for drone detection project using YOLO.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
small_birdrone_dataset,
title = { Small_BirDrone Dataset },
type = { Open Source Dataset },
author = { Fatin Zamri },
howpublished = { \url{ https://universe.roboflow.com/fatin-zamri/small_birdrone } },
url = { https://universe.roboflow.com/fatin-zamri/small_birdrone },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jun },
note = { visited on 2024-09-29 },
}