Brazilian Urban Mobility Image Dataset

Description

The Brazilian Urban Mobility Image Dataset comprises 1000 JPEG images of Brazilian urban roadways. The image corpus encompasses scenes from four geographically distinct urban centers: Manaus (State of Amazonas), Barueri (State of São Paulo), Chapada (State of Mato Grosso), and Porto Velho (State of Rondônia). This dataset incorporates a total of 6932 annotations, categorized into four classes of objects prevalent in Brazilian urban traffic: passenger cars, motorcycles, buses, and a generalized "vehicle" class (including trucks, vans, ambulances, and similar). Annotations were performed using the Labelbox platform through the application of bounding boxes. The collected dataset was partitioned into three subsets: a training set comprising 60% of the data, a validation set containing 10%, and a test set accounting for the remaining 30%. Object annotations are provided in text files according to the YOLOv11 format.

Institutions

• Universidade do Estado do Amazonas

  AM, Manaus

Categories

Funders

• Fundação de Amparo à Pesquisa do Estado do Amazonas

  Amazonas, Brazil

  Grant ID: PAIC 24/25
• Coordenação de Aperfeicoamento de Pessoal de Nível Superior

  Federal District, Brazil

  Grant ID: COFECUB-PJ3126170P

Licence