A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling Use a random image, upload your own, search for a place, or click on one of the example images in the gallery below. SegNet is trained to lassify each pixel of an urban street image to be one of twelve classes: pedestrian, car, building, tar road, trees etc.

Kai Yan[edit | edit source]

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