The objective was to ensure road safety by creating a dataset which suits our Indian needs. 9. Divided by use case, the data spans anything from speaker identification to speech commands. GTI Vehicle Image Database – This dataset includes 3,425 rear-angle images of vehicles on the road, as well as 3,900 images of roads absent of any vehicles. 14 Best Dutch Language Datasets for Machine Learning, 12 Best Hindi Language Datasets for Machine Learning, KITTI Object Detection with Bounding Boxes, Semantic Segmentation for Self Driving Cars, 5 Million Faces — Free Image Datasets for Facial Recognition, Top 10 Vietnamese Text and Language Datasets, 20 Best Speech Recognition Datasets for Machine Learning, 12 Best Portuguese Language Datasets for Machine Learning, 13 Free Japanese Language Datasets for Machine Learning, 20 Image Datasets for Computer Vision: Bounding Box Image and Video Data, 12 Best Cryptocurrency Datasets for Machine Learning, Top Twitter Datasets for Natural Language Processing and Machine Learning, Top 10 Reddit Datasets for Machine Learning, The Ultimate Dataset Library for Machine Learning, 10 Best Content Moderation Datasets for Machine Learning. LISA Traffic Light Dataset – While this dataset does not focus on vehicles, it is still a very useful image dataset for training autonomous vehicle algorithms. We at Lionbridge have put together a list of the best publicly available speech recognition datasets. More Options, and Resources: Image Datasets. Overall, the dataset contains approximately 13 motorized vehicles, 5 pedestrians and 2 bicycles per frame, respectively. 2011 KITTI Object Detection with Bounding Boxes – Taken from the benchmark suite from the Karlsruhe Institute of Technology, this dataset consists of images from the object detection section of that suite. YouTube-8M is a large-scale labeled video dataset that consists of millions of YouTube video IDs, with high-quality machine-generated annotations from a diverse vocabulary of 3,800+ visual entities. Nepalese Vehicles – Consisting of a total of 30 traffic videos taken in the streets of Kathmandu, this dataset includes images of 4,800 vehicles cropped from those videos. Room 1201-1207, No.6 Weide Road, Yangpu District, Shanghai. This paper used a dataset consisting of 1 million YouTube videos in 487 classes. There are total number of 10343 placemarks in this dataset, so XXXXXX ranges from 000001 to 10343. Traffic light in Wongwian Yai, Bangkok, Thailand, Road Travel Background In The Sunset Loop. Long pressing the QR code to follow wechat official account It contains 21 sequences (each 1 hour long) with over 20 … 6. CULane is a large scale challenging dataset for academic research on traffic lane detection. These images are available at sixty second intervals. 3. Lionbridge provides professional image and video annotation services for a variety of use cases. Of the 4,800 images, 1,811 are of two-wheeled vehicles and 2,989 are of four-wheeled vehicles. Ranging from GIFs and still images taken from Youtube videos to thermal imaging, bounding-box-annotated photos, and 3D images, each dataset on this list is different and suited to different projects and algorithms. A limited number of associated features are stored separately as point features. 2500 . MIT Street Scenes: Dataset for semantic road scene understanding. To access the images users will be required to have an access key." 10000 . Description We provide a dataset of dense and heterogeneous traffic videos. Therefore, the data includes over 130,000 RGB-thermal image pairs. The SpaceNet Roads Dataset The Problem. Road Scene Layout from a Single Image: Dataset for road area estimation. Lionbridge AI is a global provider of custom AI training data for some of the world’s largest tech companies. Cityscapes Image Pairs – Using traffic videos shot from vehicles driven in Germany, this dataset includes 2,975 image pairs. TME Motorway Dataset – Composed of 28 video clips which amount to 27 minutes of video, this dataset includes over 30,000 frames with vehicle annotation. dataset edge-detection image-segmentation centerline-detection road-detection multi-task-learning Updated Jun 20, 2020 kritiksoman / Aerial-Segmentation Road Surface Classification This Dataset consists of images captured with a low-cost camera, with scenarios common in emerging countries, containing unpaved roads and potholes. It is collected by cameras mounted on six different vehicles driven by different drivers in Beijing. Time-lapse cars moving in traffic at night, Hong Kong,China. Each video is from the BDD100K dataset. A separate data layer stores 'unformed' DCDB centrelines which do not represent navigable roads. Graviti Intelligent Technologies(shanghai) Limited. The LISA Traffic Light Dataset includes both nighttime and daytime videos totaling 43,0007 frames which include 113,888 annotated traffic lights. Aerial View Of Chicago Streets From Elevated Footbridge, Car Passenger View Traveling On The Chicago Streets, Blurred Defocused Lights of Traffic jam in city at night, Ho chi minh city traffic at Intersection , Vietnam, Random cars driving by on a street 4K stock video, Time lapse Singapore City Traffic at night, Timelapse Of Traffic Lights Wongwian Yai, Bangkok, Thailand, Lighting and Traffic at Night in Bangkok, Thailand. It comes with precomputed audio-visual features from billions of … We at Lionbridge have compiled a list of high-quality Portuguese datasets that covers a wide spectrum of AI use cases, from speech recognition to machine translation. Furthermore, the videos were recorded in diverse weather conditions at dif-ferent times of the day. Autonomous driving is poised to change the life in every community. Multi-Lane-Detection-Dataset: Dataset for multiple lane detection. Road data includes 3D geometrical data, camera images, and detailed GPS information, all synchronized in a consistent dataset. The videos are split into training (70K), validation (10K) and testing (20K) sets. Reuter_50_50. 10. This is relevant, considering that vehicles with ADAS (Advanced Driver-Assistance Systems) are commercialized in emerging countries, such as Brazil. We want to collaborate with the best in the industry to develop driving perception that works in all-weather, all-road, all-terrain, all-geography and all-camera environments. Traffic Web Cam Images Dataset "Provides images for the City of Ottawa's traffic web cams. Classification, Clustering . We also introduce a new large-scale first of its kind dataset of 128 hours of videos. Some of our most popular services include: Limarc writes content for Lionbridge’s website as part of the marketing team. The focus of this dataset is traffic lights. Customized data sets cover any road, off-road… As with most computer vision algorithms, autonomous vehicles require a cornucopia of image data to train. Apart from Lionbridge content, you can catch Limarc online writing about anime, video games, and other nerd culture. Each individual image file has the original still frame on the left and the same frame semantically segmented on the right. The datasets below consist of over 250,000 images and still video frames, some of which are already annotated. Sign up to our newsletter for fresh developments from the world of training data. 5.1 Data Link: Cityscapes dataset. The large-scale Multiview Extended Video with Activities (MEVA) dataset features more than 250 hours of ground camera video, with additional resources such as UAV video, camera models, and a subset of 12.5 hours of annotated data. Traffic at the Night with Light Bokeh in Istanbul, Turkey. Defocused Traffic at Night with Bokeh Lights, Night City Traffic on Main Road in Bangkok, Cars driving by water fountain 4K stock video, Traffic Lights At Night On The Bridge In Bangkok, Thailand, Aerial view time-lapse of road intersection during the day, Defocused Bokeh Lights from Vehicles at The Kadikoy. Stanford Cars Dataset – From the Stanford AI Laboratory, this dataset includes 16,185 images with 196 different classes of cars. 5. This dataset can be used for two tasks. Russia is ranked fifth in the world by length of the road network. Below is a list of 10 open image and video datasets great for use in autonomous vehicle research and development. Get in touch and utilize our large crowd of multilingual expert annotators to provide you with high-quality image and video data for your project. The dataset is designed for … The dataset contains diverse scene types such as city streets, residential areas, and highways. Dataset: Metadata Date: November 13, 2020: Metadata Created Date: October 17, 2014: Metadata Updated Date: December 2, 2020: Reference Date(s) January 1, 2020 (publication) Responsible Party: U.S. Geological Survey, National Geospatial Technical Operations Center (Point of … Application form for access keys Caltech Has Two Car Datasets and One Motorcycles Dataset Autonomous vehicles are a high-interest area of computer vision with numerous applications and a large potential for profit. Image sizes vary from 640x480 to 1024x522 pixels. Published on Dec 2, 2016 BrnoCompSpeed is dataset for speed measurement of cars on highways. Our dataset comprises 1000 video clips of driving without any bias towards text and with annotations for text bounding boxes and transcriptions in every frame. As they say, there are two major problems in Russia, and one of them are bad roads. Dataset Type #Videos Annotation Annotation Type Year Paper Comments {{competition.datasetTitle}} {{competition.datasetDescription}} {{competition.type}} More than 55 hours of videos were collected and 133,235 frames were extracted. Dataset for text in driving videos. The dataset is 20 times larger than the existing largest dataset for text in videos. The videos were captured using both an RGB color camera and an infrared thermal camera. 4. 1,263 Best Traffic Free Video Clip Downloads from the Videezy community. Free Traffic Stock Video Footage licensed under creative commons, open source, and more! Road Object Detection 2D Bounding Boxes annotated on 100,000 images for bus, traffic light, traffic sign, person, bike, truck, motor, car, train, and rider. BIT Vehicle Dataset – From the Beijing Laboratory of Intelligent Information Technology, this dataset includes 9,850 vehicle images. Statewide Road Network including sealed and unsealed roads. 7. Start date: Feb 5, 2017 | DATASET FOR LANE DETECTION | This is a road image sequense for lane detection in different scenes, such as the inner city, urban. It is often difficult to gain access to high-quality cars datasets or find a reputable image annotation service. Lionbridge brings you interviews with industry experts, dataset collections and more. This paper also experiments with transfer learning from the features learned on this massive dataset to the smaller UCF-101 dataset consisting of 13,320 videos belonging to 101 categories.There are two immediate concerns relating to the video datasets used. 0 is the view with markers overlaid (explained above). The commercialization of the geospatial industry has led to an explosive amount of data being collected to characterize our changing planet. According to Wikipedia, the total length of Russia's road network is 1,396,000 km. Y is the identifier of the view. Real . as well as normal activities. 5.2 Artificial Intelligence Project Idea: To perform image segmentation and detect different objects from a video on the road. One area for innovation is the application of computer vision and deep learning to extract information from satellite imagery at scale. TME Motorway Dataset – Composed of 28 video clips which amount to 27 minutes of video, this dataset includes over 30,000 frames with vehicle annotation. Blurred bokeh of night city traffic lights. The dataset is useful in semantic segmentation and training deep neural networks to understand the urban scene. For those in search of Vietnamese text data, this article introduces ten Vietnamese datasets for machine learning. Still can’t find cars datasets or vehicle datasets you need to train your model? Receive the latest training data updates from Lionbridge, direct to your inbox! 8. Investing in a large number of disparate re… Data examples are shown above. By using Kaggle, you agree to our use of cookies. Cambridge-driving Labeled Video Database (CamVid): Dataset for semantic road … © 2020 Lionbridge Technologies, Inc. All rights reserved. Public Access Level: public Metadata Context: https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld Metadata Catalog ID Semantic Segmentation for Self Driving Cars – Created as part of the Lyft Udacity Challenge, this dataset includes 5,000 images and corresponding semantic segmentation labels. Rain and Snow Traffic Surveillance – This dataset consists of 22 videos each around five minutes. This image dataset includes over 14,000 images made up of 7,518 testing images and 7,481 training images with bounding boxes labels in a separate file. However,recent events show that it is not clear yet how a man-made perception system canavoid even seemingly obvious mistakes when a driving system is deployed in thereal world. LiDAR-Video Driving Dataset: Learning Driving Policies Effectively Yiping Chen∗1, Jingkang Wang∗2, Jonathan Li#1,3, Cewu Lu#2, Zhipeng Luo1, Han Xue2, and Cheng Wang1 1Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University 2Shanghai Jiao Tong University 3University of Waterloo Abstract Learning autonomous-driving policies is one of the most The dataset consists of the following road-agent categories – car, bus, truck, rickshaw, pedestrian, scooter, motorcycle, and other roadagents such as carts and animals. 1, 2, 3 and 4 are the side views and 5 is the upward view. traffic-surveillance-dataset Set of video-based and multimodal traffic surveillance datasets. Our video sequences also include GPS locations, IMU data, and timestamps. However, almost all the frames have both traffic lights and vehicles within them. We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. 1. Lionbridge AI is a global provider of custom AI training data for some of the world’s largest tech companies. So, the team created about 10,000 pixel-level annotated images and 50,000 object level annotated images, twice the size of Germany’s Cityscape, which contained 5,000 frames. The dataset represents navigable roads, including public and private access roads and tracks. It is important to understand that the problem requires a systemic solution. One of the most important components of any Deep Learning project is an understanding of the dataset being used. Nexar’s Latest Challenge to Developers. With the rise of Tesla’s self-driving cars and projects like Google’s Waymo, the autonomous vehicle industry seems to only be growing year after year. To designand test potential algorithms, we would like to make use of all the informationfrom the data collected by a real dr… As computer vision researchers, we are interested in exploring thefrontiers of perception algorithms for self-driving to make it safer. The frame at the 10th second in each video is annotated for image tasks 2. : The dataset is used for authorship identification in online Writeprint which is a new … Video Dataset Overview Sortable and searchable compilation of video dataset Author: Antoine Miech Last Update: 17 October 2019. It consists of 1900 long and untrimmed real-world surveillance videos, with 13 realistic anomalies such as fighting, road accident, burglary, robbery, etc. Born and raised in Canada, Limarc’s love of Japanese pop culture brought him to Japan in 2016 and living in Japan has been his dream come true. The images are divided into the following six categories by vehicle type: bus, microbus, minivan, sedan, SUV, and truck. Special interest on intersection surveillance. Still can’t find cars datasets or vehicle datasets you need to train your model? Given that and the fact that climatic conditions are not always favorable, the task of maintaining the good condition of the entire road network in Russia is a non-trivial. It’s even more arduous and sometimes inefficient to manually annotate thousands of images yourself. Along with the NEXET dataset, we released a challenge to developers in using this dataset for object detection. Multivariate, Text, Domain-Theory . Images obtained from different cameras.

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