Datathon 2019 – Kaufland Case – Solution – Phoenix

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Overview Our approach to the problem is as follow: Data Augmentation – in the data augmentation phase we are creating synthetic images based on the dataset we have. This helps us to have larger dataset for model training and validation Object detection – There are several challenges with the object detection. First, sample is imbalanced […]

Datathon – Datathon 2019 – Kaufland Airmap Case – Solution – Nishki

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1. Business Understanding A Kaufland store is a very big thing. It has a sales floor of up to 12.000 square meters and provides more than 30.000 products. A lot of events can occur on our shelves that are likely to be overlooked. Items can get sold out, other items might be placed on the […]