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A Simple Deep Learning Based Image Segmentation Tool

This is a simple tool that can be used for scemantic segmentations of coloured images. This tool adopts a pretrained deep learning model for segmentation. It needs both Python and Matlab installations. Also, some additional Python libraries are necessary.

This tool uses a model which is based on MobileNetV2 [1] architecture and is pretrained with Microsoft COCO dataset [2]. The model can segment and identify the objects: aeroplane, bicycle, bird, boat, bottle, bus, car, cat, chair, cow, dining table, dog, horse, motorbike, person, pottedplant, sheep, sofa, train, and tv.

Segmentation Sample

Getting Started

Download the branch from Github. After that, please read and follow the instructions in User Manual.pdf file.

References

  1. MobileNetV2
  2. Microsoft COCO dataset

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A Simple Deep Learning Based Image Segmentation Tool

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