graviti
产品服务
解决方案
知识库
公开数据集
关于我们
TRANCOS Overlapping Car Crowds
2D Box
Urban
|Autonomous Driving
|...
许可协议: Unknown

Overview

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.DownloadTRANCOS dataset (Code + Dataset) Last Update: 27-may-15The 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 PDFBest practice: Recommendations on using the datasetTRANCOS 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.

数据概要
数据格式
image,
数据量
--
文件大小
--
| 数据量 -- | 大小 --
TRANCOS Overlapping Car Crowds
2D Box
Urban | Autonomous Driving
许可协议: Unknown

Overview

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.DownloadTRANCOS dataset (Code + Dataset) Last Update: 27-may-15The 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 PDFBest practice: Recommendations on using the datasetTRANCOS 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.

0
立即开始构建AI
graviti
wechat-QR
长按保存识别二维码,关注Graviti公众号

Copyright@Graviti
沪ICP备19019574号
沪公网安备 31011002004865号