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Traffic Data | ==Traffic Data== | ||
* 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/ | ||
* | * 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. | ||
* Portland ITS Portal, PeMS in California | |||
==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 | |||
* Public video data set for road transportation applications (PDTV) http://www.tft.lth.se/video/co-operation/data-exchange/ ftp://barbapappa.tft.lth.se/ | |||
* Old synthetic and traffic video data http://i21www.ira.uka.de/image_sequences/ | |||
* Comprehensive cars dataset: http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html | |||
* MIT car data http://cbcl.mit.edu/software-datasets/CarData.html and person data http://cbcl.mit.edu/software-datasets/PedestrianData.html | |||
* MIT Traffic Dataset http://www.ee.cuhk.edu.hk/~xgwang/MITtraffic.html | |||
* UIUC car detection http://cogcomp.cs.illinois.edu/Data/Car/ and CMU car data http://vasc.ri.cmu.edu/idb/html/car/ | |||
* UCSD method for people counting with dataset http://www.svcl.ucsd.edu/projects/peoplecnt/ | |||
* Oxford annotated pedestrian dataset (Town Centre) http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html#datasets | |||
* PETS datasets http://www.cvg.rdg.ac.uk/slides/pets.html | |||
** 2009: people tracking with multiple cameras http://www.cvg.rdg.ac.uk/PETS2009/ (http://www.cvg.rdg.ac.uk/PETS2009/a.html) | |||
** 2001: people and cars ftp://ftp.pets.rdg.ac.uk/pub/PETS2001/ | |||
* CityCars and CityPedestrians http://www.psi.toronto.edu/index.php?q=flobject%20analysis | |||
* Gavrila http://www.gavrila.net/Research/Pedestrian_Detection/Daimler_Pedestrian_Benchmark_D/daimler_pedestrian_benchmark_d.html | |||
* INRIA dataset used by N. Dalal (HoG classifiers) http://pascal.inrialpes.fr/data/human/ | |||
* Multi-View Car Dataset EPFL http://cvlab.epfl.ch/data/pose/ | |||
* Multiple object type (including cars) from multiple view http://www.vision.caltech.edu/savarese/3Ddataset.html | |||
* Pascal-type object datasets: http://www.image-net.org/challenges/LSVRC/2012/browse-synsets | |||
* ETH datasets http://www.vision.ee.ethz.ch/datasets/index.en.html | |||
* VIRAT Video Dataset (surveillance, road users, car parks) http://www.viratdata.org/ | |||
* NGSIM dataset: highways and urban corridors taken from multiple cameras on high buildings, with the computed results http://ngsim-community.org/ | |||
* 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/) | |||
* 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 | |||
* Longterm Observation of Scenes with Tracks Dataset (LOST) at WUSL http://lost.cse.wustl.edu/browse | |||
* 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/ | |||
* 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/ | |||
* Amazing online open source tool for annotation (and using Amazon mechanical turk) http://mit.edu/vondrick/vatic/ | |||
* The Comprehensive Cars (CompCars) dataset http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html | |||
* 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 | ||
* Common objects in context (Microsoft COCO dataset) http://cocodataset.org | |||
* Miovision Traffic Camera Dataset http://podoce.dinf.usherbrooke.ca/ | |||
* Synthia dataset (SYNTHetic collection of Imagery and Annotations) http://synthia-dataset.net/ | |||
Version du 22 janvier 2018 à 16:29
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
Image datasets of known objects are useful to train and test object classifiers
- Public video data set for road transportation applications (PDTV) http://www.tft.lth.se/video/co-operation/data-exchange/ ftp://barbapappa.tft.lth.se/
- Old synthetic and traffic video data http://i21www.ira.uka.de/image_sequences/
- Comprehensive cars dataset: http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html
- MIT car data http://cbcl.mit.edu/software-datasets/CarData.html and person data http://cbcl.mit.edu/software-datasets/PedestrianData.html
- MIT Traffic Dataset http://www.ee.cuhk.edu.hk/~xgwang/MITtraffic.html
- UIUC car detection http://cogcomp.cs.illinois.edu/Data/Car/ and CMU car data http://vasc.ri.cmu.edu/idb/html/car/
- UCSD method for people counting with dataset http://www.svcl.ucsd.edu/projects/peoplecnt/
- Oxford annotated pedestrian dataset (Town Centre) http://www.robots.ox.ac.uk/ActiveVision/Research/Projects/2009bbenfold_headpose/project.html#datasets
- PETS datasets http://www.cvg.rdg.ac.uk/slides/pets.html
- 2009: people tracking with multiple cameras http://www.cvg.rdg.ac.uk/PETS2009/ (http://www.cvg.rdg.ac.uk/PETS2009/a.html)
- 2001: people and cars ftp://ftp.pets.rdg.ac.uk/pub/PETS2001/
- CityCars and CityPedestrians http://www.psi.toronto.edu/index.php?q=flobject%20analysis
- Gavrila http://www.gavrila.net/Research/Pedestrian_Detection/Daimler_Pedestrian_Benchmark_D/daimler_pedestrian_benchmark_d.html
- INRIA dataset used by N. Dalal (HoG classifiers) http://pascal.inrialpes.fr/data/human/
- Multi-View Car Dataset EPFL http://cvlab.epfl.ch/data/pose/
- Multiple object type (including cars) from multiple view http://www.vision.caltech.edu/savarese/3Ddataset.html
- Pascal-type object datasets: http://www.image-net.org/challenges/LSVRC/2012/browse-synsets
- ETH datasets http://www.vision.ee.ethz.ch/datasets/index.en.html
- VIRAT Video Dataset (surveillance, road users, car parks) http://www.viratdata.org/
- NGSIM dataset: highways and urban corridors taken from multiple cameras on high buildings, with the computed results http://ngsim-community.org/
- 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/)
- 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
- Longterm Observation of Scenes with Tracks Dataset (LOST) at WUSL http://lost.cse.wustl.edu/browse
- 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/
- 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/
- Amazing online open source tool for annotation (and using Amazon mechanical turk) http://mit.edu/vondrick/vatic/
- The Comprehensive Cars (CompCars) dataset http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html
- Cityscapes Dataset (fine and coarse segmentation) https://www.cityscapes-dataset.com/
- Traffic sign detection challenge http://benchmark.ini.rub.de/?section=gtsdb&subsection=news
- Common objects in context (Microsoft COCO dataset) http://cocodataset.org
- Miovision Traffic Camera Dataset http://podoce.dinf.usherbrooke.ca/
- Synthia dataset (SYNTHetic collection of Imagery and Annotations) http://synthia-dataset.net/