ENet-SAD_Pytorch
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Images with 5 lanes
There are 75 images that have 5 lanes but the architecture is to detect 5 categories (background + 4 lanes). I have removed those images from training and used the images (3193) that have less than 5 lanes. In the paper 3268 images are used for training. Can someone explain if those images were used or not and if they were used what was the approach taken?