Python Image processing - Vehicle detection using Convolutional Neural Network -ClickMyProject
This system addresses the problem of car detection from aerial images using Convolutional Neural Networks (CNNs). This problem presents additional challenges as compared to car (or any object) detection from ground images because the features of vehicles from aerial images are more difficult to discern.
Unmanned aerial vehicles (UAVs) are nowadays a key enabling technology for a large number of applications such as surveillance , tracking , disaster management ,smart parking , and Intelligent Transportation Systems, to name a few.
The system is developed the deep learning algorithm for classifying the image and YOLO is used for detect the vehicle from the input aerial images.
The experimental result shows that some performance metric such as accuracy and validation graph.
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