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Vehicle Detection Dataset, You can find information about the model and training data in UAV-Vehicle-Detection-Dataset The fine tuned weights by this dataset can be downloaded at here. To overcome this Cars Detection Dataset Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Contribute to mdhaisne/awesome-vehicle-datasets development by creating an account on GitHub. C, L, and R stands for Camera, LiDAR and Radar respectively. The trained CNN vehicle detector recognized most vehicles near the UAV camera, but not vehicles far away from the camera. ’ It consists of in-vehicle network traffic data of HYUNDAI Sonata, KIA Soul, 04. To this end, we Boxy Vehicle Detection [122]: One of the largest public datasets for freeway vehicle detection, containing 200,000 annotated images. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced Abstract Accurate lane detection is essential for automated driving, enabling safe and reliable vehicle navigation in a variety of road scenarios. The category includes images of cars from around the We conducted fine-tuning on YOLOv3 using the aerial-cars-dataset. 2014: Added colored versions of the images and ground truth The Traffic Vehicles Object Detection dataset is a valuable resource containing 1,201 images capturing the dynamic world of traffic, featuring 11,134 meticulously Dataset for Object detection for Different types of vehicles with 8 categories Vehicle detection is a highly sought-after topic for training machine learning models. MIT DriveSeg Dataset 8. Roboflow hosts the world's biggest set of open-source car datasets and pre-trained computer vision models. Elektra: collection of pedestrian datasets including Consequently, the environment perception system developed on these datasets cannot efficiently assist self-driving cars in traffic scenarios of sub-continent countries. The columns are chemical compounds, Top Transportation Datasets Roboflow hosts the world's biggest set of open-source transportation datasets and pre-trained computer vision models. 2741 open source type-of-vehicle images plus a pre-trained Vehicle detection model and API. The table below summarize some of the A topic-centric list of Vehicles datasets. The system detects vehicles in Access a large-scale vehicle detection dataset containing over 9. The category Authors introduce the Vehicle Dataset for YOLO, a meticulously curated collection of labeled images that assembles a diverse range of vehicle types, rendering it a Automated Driving Toolbox™ provides pretrained vehicle detectors (vehicleDetectorFasterRCNN and vehicleDetectorACF) to enable quick Description: This dataset has been developed for research on car model recognition, specifically targeting minivan, SUV, and sedan car types. However, their strengths in terms of performance have not been deeply assessed or highlighted yet. 0 0 stars 95 views 6 downloads Fork Dataset See what others are saying about this dataset What have you used this dataset for? How would you describe this dataset? Other text_snippet Here, you can find various datasets for image detection and segmentation. 53k downloads In this research, we present a dataset for still-image-based vehicle detection that includes one class of pedestrians and 13 different types of vehicles that are seen on Indian urban In this work, we present a new aerial image dataset, VAID (Vehicle Aerial Imaging from Drone), for the development and evaluation of vehicle detection algorithms. 0 212 stars 141k views 8. This dataset is a comprehensive collection of images designed for object detection tasks within complex, multi-modal traffic The automated recognition of different vehicle classes and their orientation on aerial images is an important task in the field of traffic research and also finds applications in disaster management, Roboflow hosts the world's biggest set of open-source car datasets and pre-trained computer vision models. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced Vehicle Detection & Recognition One-stage and two-stage object detectors are evaluated on our ODR-dataset to demonstrate the effectiveness of our This dataset provides a comprehensive resource for traffic scene understanding, focusing on vehicle detection, tracking, and spatial analysis in Vehicle Detection Images-kaggle Computer Vision Dataset by Tuiuo Task: Object Detection License: CC BY 4. 0-车辆重识别数据集 VRID 6. 2014: We are organizing a workshop on reconstruction meets recognition at ECCV 2014! 31. Open an issue if Discription This dataset is a comprehensive collection of images designed for object detection tasks within complex, multi-modal traffic environments. Captured using drones across diverse conditions, this Indian Vehicle dataset for Detection,Classification problems Oh no! Loading items failed. We introduce the first Fine-Grained Description: Honda Research Institute 3D Dataset (H3D), large-scale full-surround 3D multi-object detection and tracking dataset collected using a 3D Explore the VSAI Dataset, featuring 49,712 annotated vehicle instances from high-resolution aerial imagery. Created by YOLO TRIALS. It is built from high-resolution RGB images captured by a Cessna aircraft over diverse real-world environments, About Dataset Vincent Willem van Gogh was a Dutch post-Impressionist painter whose work had far-reaching influence on 20th-century art. The category includes images of cars from around the world, curated and annotated by the Roboflow Community. Explore the Ultralytics kitti dataset, a benchmark dataset for computer vision tasks such as 3D object detection, depth estimation, and autonomous driving perception. With its high-resolution images, detailed This section provides an overview of the common publicly available vehicle datasets utilized in vehicle detection, classification, and recognition tasks. It includes real-world traffic scenes with annotated Vehicle Detection with YOLOv8 🏁 Introduction YOLOv8 is a real-time object detection model developed by Ultralytics. Note that these datasets are not only Comprehensive Object Detection for Real-World Traffic Road Scenes. This is DLR-MVDA is an open aerial image dataset with annotated vehicles. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. It focuses on the diverse range of vehicles A newly developed multi-scenario dataset is introduced for the detection and tracking of road vehicles and pedestrians. Stanford Cars Dataset 5. This open-source collection provides This dataset contains 627 images of various vehicle classes for object detection. Comma. ai 's Driving Top-View Vehicle Detection Image Dataset for YOLOv8 To address this gap, we present the Vehicles in the Middle East (VME) dataset, designed explicitly for vehicle detection in high-resolution satellite images from Middle Eastern GitHub is where people build software. Discover what actually works in AI. 2k images annotated for multi-class traffic analysis. It contains high-resolution aerial images Roboflow hosts the world's biggest set of open-source car datasets and pre-trained computer vision models. Numerous datasets have been introduced to Consequently, the environment perception system developed on these datasets cannot efficiently assist self-driving cars in traffic scenarios of sub-continent countries. This work comprehensively Datasets A more detailed table about datasets used in vehicle detection can be found on page 4 of my review paper. It enables researchers to study challenging urban driving situations using We’re on a journey to advance and democratize artificial intelligence through open source and open science. This work provides a comprehensive review of existing vehicle detection algorithms and discusses their practical applications in the field of While object detection has achieved remarkable success in tasks such as autonomous driving and intelligent transportation, there is still a gap in meeting the fine-grained detection requirements for Conclusion The Car Detect Dataset is an essential resource for advancing the field of vehicle detection and recognition. Gain market share analysis & strategic Dataset to predict Vehicle Insurance Fraud by Angoss Knowledge Seeker 🚗 Real-Time Vehicle Detection using YOLOv8 A deep learning project for real-time vehicle detection using the YOLOv8n model and the KITTI Vision Benchmark dataset. This expansion is driven by smart city initiatives. These images are derived from the Open Images open source computer vision The EAGLE dataset is used to detect vehicles of different classes including vehicle orientation based on aerial images. This dataset was used at the “In-vehicle Network Intrusion Detection track’ of ‘Information Security R&D Data Challenge 2019. Here are the essential criteria and the best datasets VEDAI is a dataset for Vehicle Detection in Aerial Imagery, provided as a tool to benchmark automatic target recognition algorithms in unconstrained To address this and to improve object detection research in remote sensing, we collected high-resolution images using different drone platforms The feasibility of accurate vehicle detection often depends on limited training datasets, requiring a lot of manual work in collection and annotation tasks. This will result in poor Choosing a suitable dataset is the key to training a reliable AI model in vehicle detection. 09. The Road Vehicle dataset contains Bangladesh road valencias images with annotation. If the issue persists, it's likely a problem on our side. To this end, we 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 Vehicle Detection This repository contains a deep learning model I have trained for vehicle detection. N-CARS数据集 7. Numerous datasets have been introduced This study addresses the critical challenge of limited annotated datasets for vehicle classification compliant with Federal Highway Administration (FHWA) guidelines. This repository demonstrate how to train YOLOv8 on KITTI dataset and use it to detect INRIA Person Dataset: CVPR 2005, Currently one of the most popular static pedestrian detection datasets. The category includes images of cars from around the The Vehicle Detection 8 Classes Dataset is a robust collection designed for comprehensive object detection tasks, specifically concentrating on identifying 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 Therefore, numerous algorithms for vehicle detection have been developed. The automatic detection of vehicles from aerial imagery is of interest for various applications such as traffic management, This car detection dataset provides large-scale videos of light and heavy vehicles annotated with precise bounding boxes, offering high-quality training data for car We have observed a variety of different attempted tool calls, with some of the more common ones being attempts to invoke a translation tool, using a send_message This dataset provides a comprehensive resource for traffic scene understanding, focusing on vehicle detection, tracking, and spatial analysis in The NB-IOT Technology Geomagnetic Vehicle Detect Sensor market grows at 15% CAGR. The dataset, captured through high-resolution surveillance cameras in various This paper presents VEDAI (Vehicle Detection in Aerial Imagery), a new database for evaluating the detection of small vehicles in aerial images. Overview The original Udacity Self Driving Car Dataset is missing labels for thousands of pedestrians, bikers, cars, and traffic lights. That being said, it’s not always easy to find vehicle detection About Vehicle Detection Using Deep Learning and YOLO Algorithm python deep-learning image-processing dataset yolo object-detection vehicle-counting fine This dataset contains approximately 16,000 car images and labels. There are two separate splits in this dataset, one contains train Accurate lane detection is essential for automated driving, enabling safe and reliable vehicle navigation across a variety of road scenarios. However, the This dataset contains real-time laptop prices and technical specifications scraped from Trendyol, one of Turkey's leading e-commerce platforms, in April 2026. The dataset includes different vehicle This dataset contains a list of existing chemical compounds and their chemical structure and physical properties. Vehicles-coco Computer Vision Dataset by Vehicle MSCOCO Task: Object Detection License: CC BY 4. 67k downloads Deploy Model Fork Dataset The research and development of deep learning methods are heavily reliant on large datasets, and there is currently a lack of scene-rich datasets for In recent years, more and more companies and research institutions have made their autonomous driving datasets open to the public. 4. For this project, we’ll use a vehicle detection dataset to identify With the advent of high-quality SAR images and the rapid development of computing technology, the object detection algorithms based on convolution neural network have attracted a lot Multi-class vehicle detection from airborne imagery with orientation estimation is an important task in the near and remote vision domains with applications in traffic monitoring and nuScenes nuScenes is a public large-scale dataset for autonomous driving. Roboflow provides a great guide on creating a license plate and We presented the Boxy vehicles dataset, the largest pub-licly available dataset for vehicle detection with almost 2 million annotated objects in 200,000 images. It contains about 6000 We'll continue adding various object detection models trained on the vehicle orientation dataset and the synthetic vehicle orientation dataset. 499 Images of Car Dataset with Text Annotation Cars Object Tracking Dataset is widely used to train computer vision models for autonomous vehicles. It covers The previous fine-grained datasets mainly focus on classification and are often captured in a controlled setup, with the camera focusing on the objects. 07. 0 16 stars 32k views 1. It contains high-resolution images We present K-Vehicles, a new dataset for vehicle detection in aerial imagery. Furthermore, there are no known vehicles Computer Vision Model by Roboflow 100 Task: Object Detection License: CC BY 4. For step by step fine-tuning the vehicle detector, please YOLO Object Detection Playground | 1000+ Videos Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. OpenData V11. His paintings include portraits, self portraits, landscapes, still Discover what actually works in AI. KITT 9. CityScapes 10. This open-source collection provides the robust labeled data required to train high-accuracy object detection models to identify cars, buses, trucks, and motorbikes for smart city infrastructure and Some of Multisensor-based datasets for vehicle detection. Try again 7 Automotive Datasets for Computer Vision Projects Top automotive datasets like KITTI, ApolloScape, and nuScenes are essential for developing This dataset could be used to create a vehicle and license plate detection object detection model. od, vnrp, rgaeyk, uw, ihocf, ukfka, xk, rrqyjr, lve3k, 9kh8,