 This paper presents an automatic solution to the problem of detecting and counting cars in unmanned aerial vehicle images. We use a deep convolutional neural network, CNN, system that is already pre-trained on huge auxiliary data as a feature extraction tool. The experimental results have proven that the proposed method outperforms the state-of-the-art methods, both in terms of accuracy and computational time. This article was authored by Nassim Amour, Haikal El-Hikri, Yakub Batzi, and others.