Image Dataset of Clinical Urine Test Results on Petri Dishes

This dataset contains 1500 images of clinical urine cultures in agar plates. The data is structured in three subdirectories corresponding to each exam result: Positive, Negative, and Uncertain. Each subdirectory contains image files in jpeg format and annotations in XLSX files about the respective result of the exams. There are 498 images in the Positive folder, 500 were classified as Negative and 502 as Uncertain. A specific image acquisition system was developed to support data collection following a standardized process. The system is composed of a tailored hardware chamber integrated with a smartphone providing the camera and a software application. The chamber consists of a white acrylic cubic box made to set a standard environment for the photos, with appropriate conditions of positioning and lighting. The hardware chamber technical drawing is provided in the methods folder. The camera used is embedded in a Samsung Galaxy Note 9 mobile phone with a 4: 3 sensor ratio and 12-megapixel. (The images on the dataset have a 3024-by-3024 pixels resolution each, which is the original camera output resolution considering a square cut to convert the sensor's ratio from 4:3 to 1:1). A mobile software application, using React Native as front-end technology and Firebase as back-end-as-a-service, was developed to support image acquisition.