Vehicle dataset github. /data/make_model_database.

Vehicle dataset github meta> [--path_model_checkpoint <path to model checkpointing VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification (TMM) arXiv [中文介绍]. The dataset is In recent years, electric vehicles (EV) have become a more viable and popular choice to gasoline powered automobiles. In this paper, all labels of "Car" and "Truck" in Udacity Dataset 1 are transformed into "Vehicle", and all images are randomly divided into the This is the drone dataset captured over several intersections in Daejeon, South Korea. In this paper, all labels of "Car" and "Truck" in Udacity Dataset 1 are transformed into "Vehicle", and all images are randomly divided into the training-validation set and test set by 7:3. These images are captured using our crowdsourcing platform from over 2000+ different locations, where each image is manually reviewed and verified by our computer vision professionals at Datacluster Labs. python privacy ai robotics blur self-driving-car dataset-creation face-detection hide autonomous-driving privacy-protection anonymization driving-data license-plate-recognition blur-image indian The development of safety-oriented research ideas and applications requires fine-grained vehicle trajectory data that not only has high accuracy but also captures a substantial number of critical safety events. cfg and change its name to yolov4-vehicle. • 1 Million LiDAR frames, 7 Million camera images • 200 km² driving regions, 144 driving hours • 15k fully annotated scenes with 5 classes In this notebook, we detail the Passive Vehicular Sensors Datasets (PVS) 1-9 in the form of interactive maps illustrating the data classes and tables with the data distribution. The datasets obtained from Step 2 and Step 3 are the longitudinal and car-following trajectory data. It contains a wide variety of excavator vehicles which are used in YOLO object detection test using Vehicles dataset. ADS: SAE Levels 3-5 automated driving system ADAS: SAE Level 2 advanced driver assistance system Low-speed shuttles: ADS or ADAS equipped shuttle @misc{kamal2024anna, title={ANNA: A Deep Learning Based Dataset in Heterogeneous Traffic for Autonomous Vehicles}, author={Mahedi Kamal and Tasnim Fariha and Afrina Kabir Zinia and Md. Electric vehicles can be split up into two broad categories: Battery Electric Vehicles (BEV) - e. The dataset contains a total of 9058 images with a high diversity of poses, angles, lighting conditions, weather conditions, backgrounds. We also analyzed and validated the data using multiple methods. The vehicle orientation dataset is a large-scale dataset containing more than one million annotations for vehicle detection with simultaneous orientation classification using a standard object detection network. This dataset is created mostly for excavator detection. - suryagutta/Autonomous-Vehicles-Datasets Dataset reference @InProceedings{Yang_2015_CVPR, author = {Yang, Linjie and Luo, Ping and Change Loy, Chen and Tang, Xiaoou}, title = {A Large-Scale Car Dataset for Fine-Grained Categorization and Verification}, journal = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month There are plenty of proposed datasets for training CNN based vehicle detector, also many pre-trained weights that can be directly applied for the vehicle detection tasks. The images all have dimensions of 1280 x 1024 pixels (width x height). This paper introduces the CitySim Dataset, which was devised with a Two parts of the dataset can be downloaded from the Tsinghua Cloud or Baidu Netdisk, including the captured frames and satellite imageries for training. jpg. The dataset was annotated by a combination of machine learning algorithms and humans. AI-powered developer platform Available add-ons GitHub is where people build software. Poribohon-BD is a vehicle dataset of 15 native vehicles of Bangladesh. VED captures GPS trajectories of vehicles along with their timeseries data of fuel, energy, speed, and auxiliary power usage, and the data was collected through onboard OBD-II loggers from Nov, 2017 to Nov, 2018 Dataset for car detection on aerial photos applications - jekhor/aerial-cars-dataset This is a vehicle classification dataset that includes the training samples of Thai vehicles. Navigation Menu Toggle navigation. This tutorial, I examine the YOLOv7 & its features, learn how to prepare custom datasets for the model, and build a YOLOv7 demo from scratch using the custom-generated Vehicles Dataset. The data was collected using a PointGrey Chameleon 3 Grayscale camera (CM3-U3-13S2C-CS-BD). Contribute to KwanHoo/Vehicles_dataset_yoloV5_test development by creating an account on GitHub. Topics Trending Collections Enterprise Enterprise platform. Contribute to xiaobiaodu/3DRealCar_Dataset development by creating an account on GitHub. You switched accounts on another tab or window. Figure on the left shows the variation of vehicle models and colors in the CARLA ReID dataset. mat> --path_labels <path to cars_annos. Construction Vehicle Images is a dataset for object detection task Sample images from the CARLA ReID dataset, resized to the same dimension for visualization. Dataset The DroneVehicle dataset consists of a total of 56,878 images collected by the drone, half of which are RGB images, and the resting are infrared images. Contribute to cyizhuo/Stanford_Cars_dataset development by creating an account on GitHub. To create a representative sample of vehicle make and model images for the U. 11358}, archivePrefix={arXiv}, primaryClass={cs. Contribute to dataset-ninja/road-vehicle development by creating an account on GitHub. The dataset is SVM-for-car-dataset In this repository we will see what is this car quality (multi class classification data) problem parameters/variable values and try to fit this values in a Support Vector Machine. Most of the total 588 images contains excavator only, very little contains bulldozer and truck labels as well. 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. Figure on the The following links are Google drive links containing datasets of images recorded from a car dashcam with labeled steering angles. CV} } Construction Vehicle Images | Trucks | Tractor etc. The videos are collected at different hours of the day with different weather conditions. The dataset comprises 14M+ frames, 250K tracks, 110 million bounding boxes, three weather conditions, three crowd High resolution SAR image vehicle detection dataset collected from Sandia MiniSAR/FARAD SAR images and MSTAR images - SAR_vehicle_detection_dataset/README. You signed out in another tab or window. Sign in , title = {3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views}, author = {Du, Xiaobiao and Sun, This Bangladesh Native Vehicle Dataset (BNVD) has accounted for several geographical, illumination, variety of vehicle sizes, and orientations to be more robust on surprised scenarios. ROS - bagfiles can contain many point clouds from different sensors. The complete dataset is available at Mendeley (Poribohon-BD). A total of 30 traffic videos, each of approx. Our Vehicle Light Signal (VLS) dataset contains 4 common behaviours of vehicles: driving forward, braking, turning left, turning right. md at main · sekilab/VehicleOrientationDataset A novel large-scale database for fuel and energy use of diverse vehicles in real-world. These images are captured using our crowdsourcing platform from over 2000+ different locations, where each image is **manually reviewed and verified** by our computer vision professionals at Datacluster Labs. At the time the data were This image dataset was collected as a part of my final year undergraduate project Vehicle Detection and Road Traffic Congestion Mapping Using Image Processing. the 21 classes of the dataset that are motorbike', 'pickup', 'three wheelers (CNG)', 'suv', 'car', 'truck', 'rickshaw', 'bus', 'human hauler', 'bicycle', 'minivan - saiful9379/BD_Vehicles_Detection Predicting demand at electric vehicle charging stations with machine learning, using the Caltech ACN dataset - NatDave/xgboost-ev-charging. As our main contribution, we introduce a novel dataset for vehicle identification, called Vehicle-Rear, that contains more than three hours of high-resolution videos, with accurate information about the make, model, color and year of nearly 3,000 vehicles, in addition to the This is a dataset that focuses on occluded vehicle detection. , Tesla Model X; Plug-in Hybrid Electric Vehicle (PHEV) - This dataset is an extremely challenging set of over 3,000+ images of excavator vehicles from multiple construction site. Further details present in dataset_findings. docx file. The features were extracted from the silhouettes by the HIPS (Hierarchical Image Processing System Stanford Cars dataset by classes folder. This dataset is associated with the paper titled "An Anomaly Behavior Analysis Framework for Securing Autonomous Vehicle Perception" which is accepted and presentated at the 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA 2023). The dataset was optained from kaggle for learning and exploring PowerBI as an essential visualization tool. Author intends to add more of other construction vehicles next. Some of the datasets may have timestamps as well. In-vehicle attack dataset The In-Vehicle Attack Dataset (IVAD) is an intrusion detection dataset used to train in-vehicle IDS. All of the images are in JPG format. Skip to content. There are 34 logos each with 16 images and A partial dataset has been uploaded here. Our dataset can be used as a baseline for training a robust model in several real-life scenarios for traffic surveillance. Topics 1) We are going to be using yolov4 in this tutorial so we will use pre trained yolov4 conv weights download this after downloading move this file to the darknet directory 2) Go to darknet/cfg and copy and paste yolov4-custom. . There are 8,144 images for training and 8,041 images for testing in this dataset. jpg --> img_10913. The obtained datasets are provided in Ultra-AV: A unified longitudinal trajectory dataset for automated vehicle (figshare. The dataset is prepared with support from the road maintenance unit under the Department of Rural Roads (DRR) of Thailand. /data/make_model_database. cfg 2. Each class roughly has a 50-50 split in the training and validation set. Abu Syed and Fahim Hasan Khan and Md. 3 TB of surveillance videos Dataset for car detection on aerial photos applications - jekhor/aerial-cars-dataset This is a vehicle classification dataset that includes the training samples of Thai vehicles. passenger vehicle market we rely on the back4app. Introducing the most comprehensive and up-to-date open source dataset on US car models on Github. ; Determine the average electric range of the vehicles in the dataset to gauge technological python run_resnet_training_cli. High resolution SAR image vehicle detection dataset collected from Sandia MiniSAR/FARAD SAR images and MSTAR images - whu-csl/SAR_vehicle_detection_dataset GitHub community articles Repositories. VED captures GPS trajectories of vehicles along with their timeseries data of fuel, energy, speed, and auxiliary power usage, and the data was collected through onboard OBD-II loggers from Nov, 2017 to Nov, 2018 Contribute to xiaobiaodu/3DRealCar_Dataset development by creating an account on GitHub. The dataset contains two directories: raw contains the trajectory data for the tracked objects in the intersection, while processed contains the processed information from the raw data used to train the model in our paper. High resolution SAR image vehicle detection dataset collected from Sandia MiniSAR/FARAD SAR images and MSTAR images - SAR_vehicle_detection_dataset/README. g. This data is from UCI Machine Learning Repository: Car Evaluation Data Set. With over 15,000 entries covering car models manufactured between 1992 This dataset is an extremely challenging set of over 50,000+ original Vehicle images captured and crowdsourced from over 1000+ urban and rural areas, where each image is manually reviewed and verified by computer vision A topic-centric list of Vehicles datasets. Topics This dataset captures critical vehicle-pedestrian interactions in real-world traffic, designed to support research in autonomous driving and traffic safety. This dataset is about evaluating cars according to their concept structure. - GitHub - Nushura/Data A novel large-scale database for fuel and energy use of diverse vehicles in real-world. The dataset is prepared by sampling image frames from 6. 4 mins, from different Annotated, machine learning dataset of Vehicle Logos. It contains a wide variety of excavator vehicles which are used in This dataset contains a total of 8 sequences, including four sets of vehicle data collected on the campus of Wuhan University (three sets of daytime scenes and one set of nighttime scenes), two sets of vehicle data in urban canyons around the campus, and two sets of vehicle data from the suburban areas of Wuhan. Description Flight data covering about 70 km trajectories with various terrains, multiple heights and illumination changes. cfg in a text editor like notepad++ or atom and start editing according to the next steps You signed in with another tab or window. Mahbubur Rahman}, year={2024}, eprint={2401. Beyond the Parts: Learning Multi-view Cross-part Correlation for Vehicle Re-identification (ACM MM) paper code. ADS: SAE Levels 3-5 automated driving system ADAS: SAE Level 2 advanced driver assistance system Low-speed shuttles: ADS or ADAS equipped shuttle Our Vehicle Light Signal (VLS) dataset contains 4 common behaviours of vehicles: driving forward, braking, turning left, turning right. yolo format labels are in This dataset is an extremely challenging set of over 3,000+ images of excavator vehicles from multiple construction site. Based on the UA-DETRAC dataset, we obtained the dataset UADETRA-OVD consisting of 8677 images that are abundant in instances of mutual vehicle occlusion and vehicles being occluded by other objects, through IOU threshold filtering and manual labeling. The Devil is in Comprehensive list of Autonomous Vehicles Datasets (papers and dataset download) involving Visual Camera, Thermal, LiDAR, Radar etc. For the picked images up to 3225, we labeled the vehicles thoroughly using the rectangular bounding box. The dataset includes one class of pedestrians and 13 different types of vehicles commonly found on Indian roads. Implementation of linear regression. The PSU dataset was collected from two sources: an open dataset of aerial images available on Github repo Aerial-car-dataset, available online on: https We build the dim and small vehicle dataset (DSVD) to evaluate the small object detection performance in remote sensing scenes. Contribute to mdhaisne/awesome-vehicle-datasets development by creating an account on GitHub. 2257 images are randomly chosen from the whole images for the To meet the emerging demand on large-scale vehicle re-identification, we construct a dataset, namely PKU-Vehicle, which contains tens of millions of vehicle images captured by real-world surveillance cameras in several cities in China. The PKU-Vehicle dataset contains 10 million vehicle images Extensive experiments on the DroneVehicle dataset demonstrate the flexibility and effectiveness of the proposed method for cross-modality vehicle detection. The dataset can be found on Kaggle at Craigslist Vehicles Dataset. It comprises a total of four files, corresponding to datasets with 1, 3, 5, and 7 CAN IDs, respectively. Vehicle-to-Everything Cooperative Perception with Vision Transformer" machine-learning computer-vision deep-learning simulation pytorch autonomous-driving v2x multi-agent The first open-source synthetic dataset for collaborative The Omni-MOT is realistic CARLA based large-scale dataset with over 14M frames for multiple vehicle tracking . This repository includes our code for the paper 'Simulating Content Consistent Vehicle Datasets with Attribute Descent' in ECCV2020. The primary goal was to understand and visualize the temporal patterns within the dataset and gain insights into the demand and supply dynamics of vehicles across different regions and vehicle types. In the context of autonomous vehicles, accurate detection ensures that vehicles can navigate complex urban environments The PoVSSeg dataset encompasses a wide diversity in terms of road conditions (highway or urban), weather (sunny, cloudy, and rainy), vehicle types (bus, truck, and car), and smoke types which including 3,962 vehicle smoke images with polygon annotations. Not all images in the dataset contain vehicles, though the majority (~90%) do. The VehicleX data is also with CVPR AI City Challenge 2021 and Alice Challenge. The data covers vehicles from 712 areas covering all 412 sub-domains corresponding to US metro areas. This Autonomous Vehicle Testbed was designed and developed by myself at the University of Arizona, AZ, USA. Each behaviour signal contains 2 classes: day and night, since the lighting signals are not the same The dataset was annotated by a combination of machine learning algorithms and humans. The images have been taken in varied weather conditions in This work addresses the problem of vehicle re-identification through a network of non-overlapping cameras. VOC format labels are in Annotation folder. DVM-Car A Large-Scale Dataset for Automotive Applications. Reload to refresh your session. If you have a specific request or have an idea of how these datasets can be improved, email me at sullyfchen@gmail. Each behaviour signal contains 2 classes: day and night, since the lighting signals are not the same when during the day and night. It contains a wide variety bicycle images which with different orientations This Streamlit dashboard enables users to view and analyze electric vehicle ownership in the State of washington. Reload to refresh your The ONCE dataset is a large-scale autonomous driving dataset with 2D&3D object annotations. Understand the overall landscape of electric vehicles, encompassing both BEVs and PHEVs, to assess the market's size and growth. The dataset consists of niche Indian vehicle images for classification and object detection. com or message me through GitHub! This dataset contains 10913 gray-scale images of night-time images of roads labeled img_0. Merged and cleaned vehicle sales dataset by filtering missing values and dropping duplicated rows to retrieve a clean dataset for vehicle sales analysis. This is the drone dataset captured over several intersections in Daejeon, South Korea. This publicly available dataset aims to facilitate business related research and applications in automotive industry such as car appearance design, consumer analytics and You signed in with another tab or window. CARLA ReID dataset contains four classes of vehicles such as car, truck, motorcycle, and bicycle. This is a dataset that focuses on occluded vehicle detection. The purpose of this project was to effectively identify relationships between horsepower, vehicle mileage and price of the vehicle and to The AV-GPS-Dataset is an extensive collection of GPS navigation data collected by the Autonomic Computing Lab GPS-guided Rover (ACL-Rover). Explored relationships between attributes using bar charts, boxplots, scatter and boxplots to determine attributes containing correlation. This dataset is an extremely challenging set of over 4,000+ images of bicycle images in the wild. pyntcloud - Only for single point Road Vehicle Images Dataset. Associated with each image of the videos there are 4 parameters: steering wheel angle, accelerator and brake pedal pressures, and vehicle speed. Over thee course of ten years, improvements in battery technology and model design have increased the diversity of EV available for More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. The dataset is associated with the journal titled AVP-Dataset: Autonomous Vehicle Perception Dataset. It contains a wide variety bicycle images which with different orientations Merged and cleaned vehicle sales dataset by filtering missing values and dropping duplicated rows to retrieve a clean dataset for vehicle sales analysis. Contribute to akibae7/Vehicle_dataset_LinearRegression development by creating an account on GitHub. This repository contains the IRUVD (Indian Road User Vehicle Dataset), a comprehensive still-image-based dataset for automatic vehicle detection in urban and rural Indian road conditions. The vehicle may be viewed from one of many different angles. md at master · whu-csl/SAR_vehicle_detection_dataset GitHub community articles Repositories. GitHub community articles Repositories. com) . More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. com database, an open-source dataset providing detailed information about motor vehicles sold in the US between the years 1992 and 2022. The objective is to classify a given silhouette as one of three types of vehicle, using a set of features extracted from the silhouette. S. The downside of the format is that it is only suitable for serial access and not well suited for data analytics and post processing. It is observed that there is very little or no dataset available on these niche vehicles like autorickshaw, tempo, trucks, etc. Vehicle and pedestrian detection plays a crucial role in the development of autonomous vehicles and smart city applications, serving as a foundation for safety and efficiency. The data on the CAN bus in these files has been converted from hexadecimal to decimal format. There are 34 Vehicle Logos classes and 544 images each containing a single cropped vehicle logo and corresponding instance mask. Vehicle-to-Everything Cooperative Perception with Vision Transformer" machine-learning computer-vision deep-learning simulation pytorch autonomous-driving v2x multi-agent The first open-source synthetic dataset for collaborative More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. - VehicleOrientationDataset/README. forked from curran's Contribute to rashida048/Datasets development by creating an account on GitHub. csv. Topics Trending Collections Enterprise Enterprise platform You signed in with another tab or window. These images captured and crowdsourced from over 200+ different locations, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. Saved searches Use saved searches to filter your results more quickly The dataset contains 16,185 car images distributed over 196 classes/brands. A copy of this database is stored locally in . There are plenty of proposed datasets for training CNN based vehicle detector, also many pre-trained weights that can be directly applied for the vehicle detection tasks. This dataset consists of about 130 thousand data samples captured at a rate of 10 fps, completing more than 3½ hours of video. 1) Open yolov4-vehicle. In the context of examining the BNVD dataset, this work provides a thorough assessment with four successive You Only Look Once (YOLO) models, namely YOLO v5, v6, v7, and v8. Related material: Contribute to dataset-ninja/construction-vehicle-images development by creating an account on GitHub. - hvzzzz/Vehicle_Trajectory_Dataset Repository for the paper I See You: A Vehicle-Pedestrian Interaction Dataset from Traffic Surveillance Cameras, presented at the LXAI workshop at NeurIPS 2022. Contribute to rraj12345/Tableau-Dashboard-on-Electric-Vehicle-DataSet development by creating an account on GitHub. This dataset provides a collection of labeled aerial images of vehicles taken from drones in the campus of Prince Sultan University, Saudi Arabia. py --path_images <path to parent directory of car_ims folder> --path_data <path to cars_meta. Because the majority of the vehicle detections tasks were conducted on or near the ground, these image datasets were collected by ground vehicles or CCTV cameras. rwsri eslms agaqv ayyr kjqv ntcemi degsbrls vysof zveqcc jhc