This is my Stanford University Code in Place final project code. It is a visualization of some of part of the operations data. The code is written in python.

16-Categories-75239-Groups-of-Urban-Refined-Management-Data

10114-People-Multi-view-Tracking-Data

6003-Videos-Gather-Behavior-Data

Re-ID Dataset in Surveillance Scenes

208914-Bounding-Boxes-Human-Body-Attributes-Data-in-Surveillance-Scenes

760607-Images-Vehicles-Detection-Data-in-Surveillance-Scenes

1472-People-Gait-Recognition-Data-in-Surveillance-Scenes

89747-Images-Vehicle-Attributes-Annotation-Data

Face Recognition on SurvFace or Custom Dataset using OpenSphere

2002-People-Electric-Bicycle-Entering-Elevator-Data

10-Categories-8085-Groups-of-Urban-Refined-Management-Data

100-People-Gait-Recognition-Data

1022-People-Re-ID-Data-in-Surveillance-Scenes

COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.

Last date of data delivery: 2022-11-14. Regularly updated Norwegian covid-19 data from Folkehelseinstituttet (the Norwegian Institute of Public Health)