Case Study: Drones Detection
We trained a neural network to recognize drones in real world images and videos. Drone's features can be extracted, and statistics about one or more unmanned flying objects can be tracked and stored. This model can be trained to detect specific types of drones' features, according to client's needs.
Evaluating your Images
You can find below a list of your pictures, ranked according to the number of drones that were detected within them. The image on top is the most likely to contain drones according to our pretrained models. All the way to the image at the bottom of the list, which shows the least amount of detected drones. Try uploading more pictures, and see the list updating accordingly!
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