This year, Notilyze is participating in the SAS Hackathon again, for the first time in the Manufacturing sector. The team is immersing itself in the IoT solutions of SAS to gain insights into business processes.
For the SAS Hackathon, Notilyze created a chatbot for camp managers of refugee camps to obtain information from our data and analytics in an accessible way and suitable for a low bandwidth.
Together with Elva, Notilyze works on a project to estimate the number of refugees in refugee camps to more accurately estimate the number of necessary supplies in refugee camps.
During my time at Notilyze I developed a quantitative model for one of their biggest clients as part of my thesis for the master Quantitative Finance.
In the previous article about contrast stretching, we explored percentile contrast stretching and how to apply this to obtain better performance in object detection models. Percentile contrast stretching is also called (histogram) normalization, as we normalize the range of the pixel intensities.
An important part of training neural networks is preprocessing of the input. A lot of performance gain can be obtained by carefully examining, cleaning and transforming the input data.
