|Description (include details on usage, files and paper references)||The TRaffic ANd COngestionS (TRANCOS) dataset, a novel benchmark for (extremely overlapping) vehicle counting in traffic congestion situations. It consists of 1244 images, with a total of 46796 vehicles annotated. All the images have been captured using the publicly available video surveillance cameras of the Dirección General de Tráfico of Spain.
TRANCOS dataset (Code + Dataset) Last Update: 27-may-15
The paper: Extremely Overlapping Vehicle Counting. R. Guerrero-Gómez-Olmedo, B. Torre-Jiménez, R. J. López-Sastre, S. Maldonado-Bascón and Daniel Oñoro-Rubio. IbPRIA 2015 PDF
Best practice: Recommendations on using the dataset
TRANCOS dataset is divided into three dataset: training, validation and test. Any approach reporting results for the TRANCOS bechmark must be trained using any data except the provided test images. Furthermore, the test data must be used strictly for reporting of results alone - it must not be used in any way to train or tune systems, for example by running multiple parameter choices and reporting the best results obtained. For that purpose we recommend to use the training and validation sets which are provided on the same package.
We encourage two types of participation:
(i) methods which are trained using only the training+validation set of images provided by TRANCOS;
(ii) methods trained using any data except the test data of TRANCOS.