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)

Face Recognition on SurvFace or Custom Dataset using OpenSphere

Re-ID Dataset in Surveillance Scenes

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

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

6003-Videos-Gather-Behavior-Data

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

10114-People-Multi-view-Tracking-Data

O ÆSOP (Alert-Early System of Outbreaks with Pandemic Potential) é um sistema que integra múltiplas fontes de dados para ajudar autoridades de saúde a identificar antecipadamente possíveis surtos, permitindo ações preventivas antes que a transmissão se intensifique.

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.

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

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

Analysis of antimicrobial resistance (AMR) in Spain using EARS‑Net data (2000–2018), exploring resistance patterns by age, gender, bacteria–antibiotic profiles, trends over time, and predictive modeling to support clinical and public health decisions.

100-People-Gait-Recognition-Data

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

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