VeRi.zip(Vehicles识别数据集)

%******************************************************************************************************************% % The VeRi dataset is collected with 20 cameras in real-world traffic surveillance environment. % % A total of 776 vehicles are annotated. 200 vehicles are used for testing. The remaining 576 vehicles are % % for testing. % % There are 11579 images in the test set, and 37778 images in the training set. % % If you use this dataset, please kindly cite our paper as, % % % % Liu, X., Liu, W., Ma, H., Fu, H.: Large-scale vehicle re-identification in urban surveillance videos. In: IEEE % % International Conference on Multimedia and Expo. (2016) accepted. % % % % This dataset should be used for research only. Please DO NOT distribute or use it for commercial purpose. % %******************************************************************************************************************% Content in the directory: 1. "image_query/". This dir contains 1678 images as queries. 2. "image_test/". This dir contains 11579 images for testing. 3. "image_train/". This dir contains 37778 images for training. 4. "name_query.txt". It lists all query file names. 5. "name_test.txt". It lists all test file names. 6. "name_train.txt". It lists all train file names. 7. "test_track.txt". It records all test tracks. Each track contrains about 6 images of the same vehicle captured by one camera at a time. 8. "gt_image.txt". It lists the ground truths of each query in each line. 9. "jk_image.txt". It lists the junk images of each query in each line. The junk images are the images with the same camera ID to the query. 10. "train_label.xml". It lists the labels, e.g., vehicle ID, camera ID, color, type, of the training images. 11. "test_label.xml". It lists the labels of all test images. 12. "list_color.txt". It lists the numbers of colors in the xml files. 13. "list_type.txt". It lists the numbers of tpyes in the xml files. 14. "camera_ID.txt". It lists the IDs of all 20 cameras. 15. "camera_Dist.txt". It records the distances between each pair of cameras. 16. "YongtaiPoint_Google.jpg". It is the map with the camera locations. If you have any problem, please contact xinchenliu@bupt.edu.cn