TLDR
In this post, I will show you how you can implement your own car detector using pre-trained models that are available for download: MobileNet SSD and Xailient Car Detector. MobileNet is a light-weight deep neural network architecture designed for mobiles and embedded vision applications. The SSD approach is based on a feed-forward convolutional network that produces a fixed-size collection of bounding boxes and scores for the presence of object class instances in those boxes. It’s composed of two parts: extract feature maps, and apply convolution filter to detect objects.via the TL;DR App
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Written by sabina | Customer Success AI Engineer at Xailient
