Public Transportation Datasets : Différence entre versions

De Transport
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Traffic Data
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==Traffic Data==
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* Traffic video data on the [[VideoTracking|Video tracking]] page
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* NGSIM dataset: traffic data for highways and urban corridors taken from multiple cameras on high buildings http://ngsim-community.org/
 
* NGSIM dataset: traffic data for highways and urban corridors taken from multiple cameras on high buildings http://ngsim-community.org/
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* MOCoPo
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* TRB Traffic flow theory and characteristics committee (AHB45) http://tft.eng.usf.edu/docs.htm (bottom of the page)
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* Traffic database
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** includes links to Portland ITS Portal, PeMS in California, etc.
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* Portland ITS Portal, PeMS in California
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==Our Datasets==
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* Mohamed Gomaa Mohamed's: Guy / Rene Levesque, St Marc
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* Marilyne Brosseau's: Sherbrooke / Amherst, Sherbrooke / Iberville
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* Place Valois
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==Video-related Datasets==
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Image datasets of known objects are useful to train and test object classifiers
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* Public video data set for road transportation applications (PDTV) http://www.tft.lth.se/video/co-operation/data-exchange/ ftp://barbapappa.tft.lth.se/
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* Old synthetic and traffic video data http://i21www.ira.uka.de/image_sequences/
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* Comprehensive cars dataset: http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html
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* MIT car data http://cbcl.mit.edu/software-datasets/CarData.html and person data http://cbcl.mit.edu/software-datasets/PedestrianData.html
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* MIT Traffic Dataset http://www.ee.cuhk.edu.hk/~xgwang/MITtraffic.html
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* UIUC car detection http://cogcomp.cs.illinois.edu/Data/Car/ and CMU car data http://vasc.ri.cmu.edu/idb/html/car/
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* UCSD method for people counting with dataset http://www.svcl.ucsd.edu/projects/peoplecnt/
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* Oxford annotated pedestrian dataset (Town Centre) http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html#datasets
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* PETS datasets http://www.cvg.rdg.ac.uk/slides/pets.html
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** 2009: people tracking with multiple cameras http://www.cvg.rdg.ac.uk/PETS2009/ (http://www.cvg.rdg.ac.uk/PETS2009/a.html)
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** 2001: people and cars ftp://ftp.pets.rdg.ac.uk/pub/PETS2001/
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* CityCars and CityPedestrians http://www.psi.toronto.edu/index.php?q=flobject%20analysis
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* Gavrila http://www.gavrila.net/Research/Pedestrian_Detection/Daimler_Pedestrian_Benchmark_D/daimler_pedestrian_benchmark_d.html
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* INRIA dataset used by N. Dalal (HoG classifiers) http://pascal.inrialpes.fr/data/human/
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* Multi-View Car Dataset EPFL  http://cvlab.epfl.ch/data/pose/
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* Multiple object type (including cars) from multiple view http://www.vision.caltech.edu/savarese/3Ddataset.html
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* Pascal-type object datasets: http://www.image-net.org/challenges/LSVRC/2012/browse-synsets
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* ETH datasets http://www.vision.ee.ethz.ch/datasets/index.en.html
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* VIRAT Video Dataset (surveillance, road users, car parks) http://www.viratdata.org/
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* NGSIM dataset: highways and urban corridors taken from multiple cameras on high buildings, with the computed results http://ngsim-community.org/
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* The PASCAL Visual Object Classes Homepage contains sets of images of objects of various types, including people, bicycles, cars, etc. http://pascallin.ecs.soton.ac.uk/challenges/VOC/ (see also MIT SUN dataset http://groups.csail.mit.edu/vision/SUN/ and Caltech http://www.vision.caltech.edu/Image_Datasets/Caltech256/, MIT CBCL StreetScenes http://cbcl.mit.edu/software-datasets/streetscenes/)
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* KITTI vision benchmark suite (images+lidar) http://www.cvlibs.net/datasets/kitti/ (object detection benchmark http://www.cvlibs.net/datasets/kitti/eval_object.php) and Karlsruhe objects http://www.cvlibs.net/datasets/karlsruhe_objects.html
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* Longterm Observation of Scenes with Tracks Dataset (LOST) at WUSL http://lost.cse.wustl.edu/browse
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* TRaffic ANd COngestionS (TRANCOS) dataset, a novel benchmark for (extremely overlapping) vehicle counting in traffic congestion situation http://agamenon.tsc.uah.es/Personales/rlopez/data/trancos/
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* GRAM Road-Traffic Monitoring (GRAM-RTM) dataset, a novel benchmark for multi-vehicle tracking in real-time http://agamenon.tsc.uah.es/Personales/rlopez/data/rtm/
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* Amazing online open source tool for annotation (and using Amazon mechanical turk) http://mit.edu/vondrick/vatic/
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* The Comprehensive Cars (CompCars) dataset http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html
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* Cityscapes Dataset (fine and coarse segmentation) https://www.cityscapes-dataset.com/
 
* Traffic sign detection challenge http://benchmark.ini.rub.de/?section=gtsdb&subsection=news
 
* Traffic sign detection challenge http://benchmark.ini.rub.de/?section=gtsdb&subsection=news
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* Common objects in context (Microsoft COCO dataset) http://cocodataset.org
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* Miovision Traffic Camera Dataset http://podoce.dinf.usherbrooke.ca/
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* Synthia dataset (SYNTHetic collection of Imagery and Annotations) http://synthia-dataset.net/

Version du 22 janvier 2018 à 12:29

Traffic Data

  • NGSIM dataset: traffic data for highways and urban corridors taken from multiple cameras on high buildings http://ngsim-community.org/
  • TRB Traffic flow theory and characteristics committee (AHB45) http://tft.eng.usf.edu/docs.htm (bottom of the page)
    • includes links to Portland ITS Portal, PeMS in California, etc.

Our Datasets

  • Mohamed Gomaa Mohamed's: Guy / Rene Levesque, St Marc
  • Marilyne Brosseau's: Sherbrooke / Amherst, Sherbrooke / Iberville
  • Place Valois

Video-related Datasets

Image datasets of known objects are useful to train and test object classifiers

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