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Neural Net for Image Segmentation on Change Detection Dataset. (U-Net structure)

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ImageSeg-UNet

This notebook implements an image segmentation on the highway scene from the Change Detection dataset: http://jacarini.dinf.usherbrooke.ca/dataset2014#

input image gt image

Procedure

  • load dataset
  • resize images to 40x53 (~1/3) to make it more tractable
  • increase number of examples by augment images
    • change brightness by a random factor
    • change contrast by a random factor
  • train model

Architecture

The model is inspired by the U-Net architecture https://arxiv.org/abs/1505.04597 with further residual connections.

Training

training

Results

metric metric metric metric

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Neural Net for Image Segmentation on Change Detection Dataset. (U-Net structure)

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