Inspiration

To text my newly learnt pytorch

What it does

The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze.

How I built it

Semantic segmentation can be done using a model pre-trained on images labeled using predefined list of categories. An example in this sense is the DeepLabV3 model, which is already implemented in PyTorch.

Challenges I ran into

Lots of bugs

Accomplishments that I'm proud of

How to resolve the bugs I had.

What I learned

How best to work with pytorch.

What's next for Image segmentation

Implementing in an app.

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