Object Detection from the Video Taken by Drone
![Object Detection from the Video Taken by Drone](/content/images/size/w1200/max/800/1-4hcxr7y6b8vdvqo31il38g.jpg)
In the last article, we learned how to import the VisDrone dataset into Nilvana™ Vision Studio. It’s not that difficult, just follow the instructions or ask us for help. If you have not read it yet, you definitely have to!
![](https://cmwang.net/content/images/fit/c/160/160/0-worej9bweqrri1bg.png)
As you can see in the Vision Studio screenshots below, you can clearly see the 10 categories annotated in the images. Some time ago I found a beautiful video — World’s longest drone fpv one shot made by New Step Media on Youtube. I found that there are a lot of indoor scenes that are very suitable for adding the COCO dataset based on the visdrone dataset, so I used this combined dataset to train a object detector. In case you didn’t already know, Nilvana™ Vision Studio has an intuitive web interface that makes it easy to merge annotation data or categories from different datasets with a few mouse clicks.
![](https://cmwang.net/content/images/max/1000/1-hsvqcqt8rvoqfztapf_yra.png)
![](https://cmwang.net/content/images/max/400/1-qhif2slonafquakcfivdwg.png)
Visdrone dataset on Nilvana™ Vision Studio
You can watch the finished video below. Kudos to New Step Media for creating such a stunning aerial video. Ownership of the original video belongs to New Step Media.
Drone video object detection