2012 Tesla Model S or 2012 BMW M3 coupe. This week, in collaboration with the lidar manufacturer Hesai, the company released a new dataset called PandaSet that can be used for training machine learning models, e.g. DriveU Traffic Light Dataset (DTLD) It contains more than 40.000 images and 230 000 annotated traffic lights and is the largest database for traffic light detection so far containing bounding box labels, track identities and furthermore the following attributes: phase, pictogram, relevancy, occlusion, number of light units and orientation. The system must understand the 3D relationship of each object in each image frame, especially those surrounding or near the self-driving vehicle. CMU Face databases . 5. This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars. Person/pedestrian detection.

Controller Area Network (CAN) is a de facto standard for the in-vehicle network. In order to fine tune this SSD detector I used the udacity vehicle annotation dataset. Animals on the Web data . This dataset involves five types of annotations in a wide range of scenarios, no longer limited to the traffic scenario. Car Detection using Unmanned Aerial Vehicles: Comparison between Faster R-CNN and YOLOv3. Here's an example of a collection of images with car labels from the crowd-ai dataset Car-Hacking Dataset for the intrusion detection. The data is split into 8,144 training images and 8,041 testing images, where each class has been split roughly in a 50-50 split. To narrow this gap and facilitate future pedestrian detection research, we introduce a large and diverse dataset named WiderPerson for dense pedestrian detection in the wild. NYU NORB dataset . The second rating corresponds to the degree to which the auto is … The Car Evaluation Database contains examples with the structural information removed, i.e., directly relates CAR to the six input attributes: buying, maint, doors, persons, lug_boot, safety. Hope this helps! The Carsdataset contains 16,185 images of 196 classes of cars. As modern vehicles have lots of connectivity, protecting in-vehicle network from cyber-attacks becomes an important issue. Here is a link for a car dataset from Stanford University. The LISA Traffic Light Dataset includes both nighttime and daytime videos totaling 43,0007 frames which include 113,888 annotated traffic lights. Image credits: Scale AI. Within this dataset there are two datasets from crowd-ai and autti. ETH-80 . applied to autonomous driving challenges. Example of an annotated point cloud for lane and boundary detection applications. Dataset for car detection on aerial photos applications - jekhor/aerial-cars-dataset Classes are typically at the level of Make, Model, Year, e.g. Hope this helps! The Boxy vehicle detection dataset contains 2 million annotated cars, trucks, or other vehicles for object detection in 200,000 images for self-driving cars on freeways. Sample image from the KITTI Object Detection Dataset. The dataset comes with a set of labeled images with cars, trucks and pedestrian labels. But, lack of security features of CAN protocol makes vehicles vulnerable to attacks.

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