🔥🔥🔥FindVehicle: The 🔥first🔥 NER dataset in traffic domain for natural language-based vehicle retrieval 🎉🎉🎉VehicleFinderA text-image cross-modal vehicle retrieval systemlink FindVehicle Dataset Download Data Link 1:Baidu Cloud DiskPassword: xp9o ...
Citywide reconstruction of cross-sectional traffic flow from moving camera videos» Download Vehicle Orientation Dataset Download Experiment Dataset (Video and GPS) Pre-trained weights We'll continue adding various object detection models trained on the vehicle orientation dataset and the synthetic ve...
IMAGE recognition (Computer vision)SPORT utility vehiclesTRAFFIC accidentsCRIME statisticsTRAFFIC congestionThe rapid increase in the number of vehicles has led to increasing traffic congestion, traffic accidents, and motor vehicle crime rates. The management of various parking lots has also be...
This deep learning-based methodology has been trained using the HighD dataset, which contains vehicles' detection in a highway scenario from aerial imagery. The problem is faced as an image to image regression problem training the network to learn the underlying relations between the traffic ...
First, we proposed a Retinex-based image adaptive correction algorithm (RIAC) to enhance the traffic images in the dataset to reduce the influence of shadow and illumination, and improve the image quality. Second, in order to improve the feature expression of the backbone network, we conducted ...
These approaches are laborious and inconvenient both in terms of camera setup (manually clicking on the measured features in the image) and in terms of physically visiting the scene and measuring the distances. In our paper, we focus on precise and at the same time fully automatic traffic ...
In recent years, vehicle detection and classification have become essential tasks of intelligent transportation systems, and real-time, accurate vehicle detection from image and video data for traffic monitoring remains challenging. The most noteworthy challenges are real-time system operation to accurately...
In this case, the data represents vehicles traveling through a traffic signal system. There are some abrupt changes in the patterns of the data near the red lines, which indicate scheduled changes to the signal timing plans. The data is quite “noisy” in that there is considerable spread in...
This is the project page for veri dataset which is a large scale image dataset for vehicle re-identification in urban traffic surveillance. - JDAI-CV/VeRidataset
1. VeRi dataset Clickhereto the new webpage. To facilitate the research of vehicle re-identification (Re-Id), we build a large-scale benchmark dateset for vehicle Re-Id in the real-world urban surveillance scenario, named "VeRi". The featured properties of VeRi include: ...