Visual attribution is the problem of identifying object features using its photo. This problem is very important as it is often used as part of a solution for a wide range of tasks. Among these tasks can be:
- Making a well-attributed catalog which will give users the ability to filter product specifying their characteristics.
- Making recommendations showing similar products.
- Making visual search allowing to find products by images.
In this showcase, we will show what is a visual attribution solving this problem for women dresses. At the end of the path, you could upload an image with a dress and get a prediction for such attributes as length and color.
To train the model you need data. You can use this data which holds on Google Cloud Storage and is publicly available.
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AWS
- SageMaker
- S3 buckets to store data
- ECS to deploy backend service with UI
