In order to find a solution to this problem we would try building a Image classification model that would classify vehicle images as either belonging to the emergency vehicle or non-emergency vehicle category.
Fatalities due to traffic delays of emergency vehicles such as ambulance & fire brigade is a huge problem. In daily life, we often see that emergency vehicles face difficulty in passing through traffic. So differentiating a vehicle into an emergency and non emergency category can be an important component in traffic monitoring as well as self drive car systems as reaching on time to their destination is critical for these services. In order to find a solution to this problem we would try building a Image classification model that would classify vehicle images as either belonging to the emergency vehicle or non-emergency vehicle category.
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This article will simply explain the concept which will help you understand the difference between Machine Learning and Deep Learning.
A few compelling reasons for you to starting learning Computer. In today’s world, Computer Vision technologies are everywhere.
Deep Computer Vision is capable of doing object detection and image classification task. In image classification tasks, the particular system receives some input image.
Basic fundamentals of CNN. CNN’s are a special type of ANN which accepts images as inputs. Below is the representation of a basic neuron of an ANN which takes as input X vector.