Vehicle detection dataset free download Just like most LiDAR dataset, this article will be overfitted to the self-driving car problem, but I'll also provide resources for non-self-driving car datasets. This dataset contains approximately 16,000 car images and labels. Wojtyra, "Real World Object Detection Dataset for Quadcopter Unmanned Aerial Vehicle Detection," in IEEE Access, vol. Optimize Images (Optional): If you want to reduce the size of the dataset for more efficient processing, you can optimize the images using the code below. Learn more For machine learning process This dataset is collected by DataCluster Labs. They meticulously recorded 6 hours of traffic scenarios at 10–100 Hz, utilizing a range of sensor modalities, including high-resolution color and grayscale stereo cameras, a Velodyne 3D laser scanner 226 datasets • 153405 papers with code. Through analysis of CADP dataset, we observed a significant degradation of object detection in pedestrian category in our dataset, due to the object sizes and complexity This dataset is an extremely challenging set of over 20,000+ original Number plate images captured and crowdsourced from over 700+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs Dataset Features - Dataset size : 20,000+ - Captured by : Over 4000+ crowdsource contributors - Resolution : 100% of images HD and above Here are a few use cases for this project: Law Enforcement and Security: The License Plate Recognition model can be employed by law enforcement agencies to automatically detect and record license plates of vehicles involved in traffic violations, criminal activities or search for stolen vehicles. Vehicle Classes. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The dataset is annotated with object bounding boxes for autonomous driving and video surveillance KITTI (Karlsruhe Institute of Technology and Toyota Technological Institute) is one of the most popular datasets for use in mobile robotics and autonomous driving. @inproceedings{boxy2019, title={Boxy Vehicle Detection in Large Images}, author={Behrendt, Karsten}, The Car Detect Dataset is an essential resource for advancing the field of vehicle detection and recognition. Download free, open source datasets and pre-trained computer vision machine learning models. If you consider our dataset useful, please cite the following. csv files for radar scans have nine rows each. Models have been trained with BVLC Caffe. To this end, we collected and organized a large-scale and comprehensive image database called VMMRdb, where each image is labeled with the corresponding make, model and production year of the vehicle. The vehicles contained in the database, in addition of being small, exhibit different variabilities such as multiple orientations, lighting/shadowing changes, specularities or occlusions. The dataset contains 115,354 high-resolution images (52% images have a resolution of 1624×1200 pixels and 48% images have a resolution of at least 2,560×1,440 pixels) and 709,330 labelled objects in total with a large variance in scale and appearance. Learn more Car Crash Dataset (CCD) is collected for traffic accident analysis. 2021: Camera, LiDAR: China: ONCE(One millioN sCenEs) dataset can be used for 3D object detection in the autonomous driving scenario. YOLOv8 is the latest state-of-the-art YOLO model and I will be using the version that developed by Ultralytics. mit. Despite its popularity, the dataset itself does not contain 157 open source vehicle-detection images plus a pre-trained Indian Vehicle Dataset model and API. 0 license. These projects can help you get started with things like object speed calculation, object tracking, autonomous vehicles, and smart-city transportation innovations. Learn more 255 datasets • 162835 papers with code. INRIA Person Dataset. Car parts dataset for object detection and semantic segmentation tasks, provided by DSMLR lab, IT-KMITL. We believe the lack of high quality datasets greatly limits the exploration of the community in this domain. Please feel free to use the YOLO labels file attached with it for initial training. Note the dataset is available through the AWS Open-Data Program for free download; SAR_vehicle_detection_dataset-> 104 SAR cloud detection data set Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Created by hf Download Project . The car was driven around Hyderabad, Bangalore cities and their outskirts. It contains AABB and keypoint labels. Because the majority of the vehicle detections tasks were conducted on or near the ground, these image datasets were collected by We use the public detection codebase MMDetection to train Cascade R-CNN with ResNeXt-101 backbone and FPN neck as our object detector on KITTI 2D detection dataset. 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. ai This dataset is an extremely challenging set of over 50,000+ original Vehicle Device used : Captured using mobile phones in 2020-2022 Usage : Vehicle Detection, Automobile detection, Construction vehicle detection, Self The Traffic Vehicles Object Detection dataset is a valuable resource containing 1,201 images capturing the dynamic world of traffic, featuring 11,134 meticulously labeled objects. zip (1. A self-driving car (autonomous vehicle, AV, autonomous car, driver-less car, robotic car, or robo-car), incorporates vehicular automation which is the capability of sensing its environment and moving with little or no human input. CARL-D: A vision benchmark suite and large scale dataset for vehicle detection and scene segmentation. Download Project . Download free, open source datasets for computer vision machine learning models in a variety of formats. Using this Dataset. Roboflow hosts the world's biggest set of open-source car datasets and pre-trained computer vision models. [Download] sedan [sɪ'dæn]：n. The statistics of VERI-Wild is illustrated in Figure. The resources directory contains video samples for vehicle detection task. Enjoy high-quality, annotated Car images ideal for image classification, object detection, and segmentation. h5) and place it in the project directory. Created by YOLO TRIALS When using or referring to the dataset please consider citing the following papers: M. Udacity Self Driving Car Dataset. The dataset consists of 3004 images with 24348 labeled objects belonging to 21 different classes including car, bus, motorbike, and other: three wheelers -CNG-, rickshaw, truck, pickup, minivan, suv, van, bicycle, auto rickshaw, human May 11, 2025 · Create a data. Here we provide the download and pre-processing instructions for the ROAD dataset, that is released through our TPAMI paper: ROAD: The ROad event Awareness Dataset for Autonomous Driving and uses 3D-RetinaNet code as a baseline, which also contains the evaluation code. However, detecting vehicles in individual frames is only the beginning. Yolov8 is fast and easy to use with higher accuracy. This dataset mostly contain images of Chinese models. The adomvi directory contains utility functions to fetch and format datasets for training a Yolov8 model for object detection. Best free, open-source datasets for data science and machine learning projects. Aug 12, 2020 · To meet this demand, a large vehicle detection dataset in adverse weather nature named DAWN was created in 2020 to assist in object detection, segmentation, and image processing applications [80 7 classes of cars with 4165 images Car License Plate Detection is a dataset for an object detection task. Download: CVRR-HANDS 3D DATASET. If you want to use the model in your project, first install the Tensorflow Object Detection API (see, for example, the instruction here), then download my trained model here. The dataset includes 213 lorry images with different structures such as 6-wheel, 8 wheel, and 10 wheels, 56 bus images (private and government bus images), 54 car images, 38 small truck images, 20 multi axle lorry images, and one 17-seater cab image. Google Colab provides free GPU resources for training deep learning models. 3072 images 1 model. This is a dataset for vehicle detection. This dataset comprises high-quality images of bicycles in various orientations, lighting conditions, and environments. 2020-Low-level Sensor Fusion for 3D Vehicle Detection using Radar Range-Azimuth Heatmap and Monocular Image Argoverse 2 (AV2) is a collection of three datasets for perception and forecasting research in the self-driving domain. The Bosch Small Traffic Lights Dataset. Technically, it operates similarly to, as an open source layer over Unreal Engine 4 that provides sensors in the form of RGB cameras (with customizable positions), ground truth depth maps, ground truth semantic segmentation maps with 12 semantic classes designed for The Vehicle Detection 8 Classes Dataset is a robust collection designed for comprehensive object detection tasks, specifically concentrating on identifying and localizing vehicles. This dataset is a subset of the Open Images Dataset. The n-th row in the gt10913. vehicle-detection dataset by lynkeus03. Self Driving Car Dataset. edu/driveseg Dataset for Highway Traffic Analysis through CCTV captured footage. 2020-YOdar Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors. The dataset consists of 433 images with 471 labeled objects belonging to 1 single class (license plate) Saved searches Use saved searches to filter your results more quickly The dataset has a wide variety of variations of illumination, distances, viewpoints, etc. The number of vehicles per vehicle type are 558, 883, 476, 5,922, 1,392, and 822, respectively. We use Cascade R-CNN to obtain top-19 bounding boxes and then they are used for feature extraction with pre-trained ImageNet VGG-16 model. You will probably want Robust detection of moving vehicles is a critical task for any autonomously operating outdoor robot or self-driving vehicle. Unmanned Aerial Vehicles (UAVs) or drones equipped with cameras are an attractive proposition to provide flexible and infrastructure-free traffic monitoring. From the image acquisition point of view, the traffic image dataset can be divided into three categories: images taken by the car camera, images taken by the Roboflow hosts the world's biggest set of open-source transportation datasets and pre-trained computer vision models. The images were The authors present a KITTI Object Detection dataset (is a part of a larger KITTI dataset) obtained from a VW station wagon for application in mobile robotics and autonomous driving research. python deep-learning image-processing dataset yolo object-detection vehicle-counting fine-tuning car-counting yolov5. ai This dataset is an extremely challenging set of over 50,000+ original Vehicle Device used : Captured using mobile phones in 2020-2022 Usage : Vehicle Detection, Automobile detection, Construction vehicle detection, Self Specialized Vehicle Dataset Curation: Assembling and annotating a targeted dataset dedicated to vehicles to enhance the model's detection accuracy for a range of vehicle types. txt is organized as follows, with single spaces delimiting each of the values on a line. VEDAI: "Vehicle Detection in Aerial Imagery: A small target detection benchmark". Download ResNet-152 into models Submit predictions of test data set (8,041 I am using the "Car Detection Dataset" from Roboflow. The annotated Sensor Dataset contains 1,000 sequences of multimodal data, encompassing high-resolution imagery from seven ring cameras, and two stereo cameras in addition to lidar point clouds, and 6-DOF map-aligned pose. 8 GB) Download: Tools and Description. yaml File: In your dataset's root directory, create a data. Jul 30, 2021 · The Waymo Open dataset is an open-source multimodal sensor dataset for autonomous driving. It contains real traffic accident videos captured by dashcam mounted on driving vehicles, which is critical to developing safety-guaranteed self-driving systems. 5 to 15 m in different global regions VEDAI is a dataset for Vehicle Detection in Aerial Imagery, provided as a tool to benchmark automatic target recognition algorithms in unconstrained environments. The EAGLE dataset is used to detect vehicles of different classes including vehicle orientation based on aerial images. It features sequences from different indoor and outdoor locations on the Stanford University campus. May 17, 2023 · The proposed model has been trained using the open-source dataset Crash Car Detection Dataset, and its produced precision, recall, and mAP are 93. Fine-Grained Vehicle Detection (FGVD) dataset in the wild, captured from a moving camera mounted on a car. 3026192. Dataset Overview. Dataset for Object detection for Different types of vehicles with 8 categories Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. 6 vehicle types, 9,850 images. 1. 499 Images of Car Dataset with Text Annotation. The DAWN dataset comprises a collection of 1000 images from real-traffic environments, which are divided into four sets of weather conditions: fog, snow, rain and sandstorms. Jul 13, 2021 · Dataset Download and urban, suburban, industrial, HDB car parks, coastline, etc. Download the Car labeled image dataset from images. Oct 6, 2024 · 2. The dataset consists of: 200,000 images 1,990,000 annotated vehicles 5 Megapixel resolution Sunshine, rain, dusk, night Clear freeways, heavy traffic, traffic jams Paper: Boxy Vehicle Detection in Large Images The Stanford Cars dataset has several use cases such as building vehicle recognition predictive models and classifying car models. Flexible Data Ingestion. The raw vehicle image set contains 12 million vehicle images, and 11 volunteers are invited to clean the dataset for 1 month. Popular pedestrain detection datasets. 2741 open source type-of-vehicle images plus a pre-trained Vehicle detection model and API. Download: Day Test Set (3. It has been introduced in our IJCNN paper [PDF]. Vehicle-Dataset车辆检测数据集. 8 GB) Download: Night Test Set (2. These projects can help you get started with things like object speed calculation, object tracking, autonomous Indian Vehicle dataset for Detection,Classification problems. Varying traffic conditions: light to dense traffic Paper: A General Active-Learning Framework for On-Road Vehicle Recognition and Tracking Used Cars data form websites We provide datasets which include DoS attack, fuzzy attack, impersonation attack, and attack free states. Nov 30, 2022 · I wrote a list of datasets to download and work on. Our updates to the dataset are released under the MIT License (the same license as the original annotations and images). Introduction The dataset consists of Indian vehicle Licence Plate images for number plate recognition and object detection. The category includes images of cars from around the world, curated and annotated by the Roboflow Community. The Contribute to ruhyadi/vehicle-detection-yolov8 development by creating an account on GitHub. This paper introduces a new vehicle detection dataset, VAID (Vehicle Aerial Imaging from Drone), with the aerial images captured by a drone. However most dataset are rather small. 2: CompCar [4] In this dataset most of the images are extracted CCTV cameras. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. We use the public detection codebase MMDetection to train Cascade R-CNN with ResNeXt-101 backbone and FPN neck as our object detector on KITTI 2D detection dataset. https://agelab. Framework/Network Size Dataset Model Download weights YOLOv4 (darknet) 608x608 Vehicle This dataset only scratches the surface of the Open Images dataset for vehicles! Use Cases. List of datasets : Are we there yet Aug 16, 2022 · The KITTI benchmark dataset contains images of highway scenes and ordinary road scenes used for automatic vehicle driving and can solve problems such as 3D object detection and tracking. Detection Dataset Summary. The ONCE dataset consists of 1million LiDAR scenes and 7 million corresponding camera images. CCD is distinguished from existing datasets for diversified accident annotations, including environmental attributes (day/night, snowy/rainy/good weather conditions Licensed Plate - Character Recognition for LPR, ALPR and ANPR The dataset features license plates from 32+ countries and includes 1,200,000+ images with OCR. 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. This technology uses computer vision to detect different types of vehicles in a video or real-time Mar 22, 2021 · 这些数据是通过安装在一辆汽车挡风玻璃后的ATIS摄像机记录下来的。这些数据是从不同的驾驶过程中提取的。数据集被分割为7940个car和7482个背景训练样本，4396个 car 和4211个背景测试样本。每个示例持续100毫秒。 7. 3: Stanford Cars Dataset [2] This dataset mainly focus on vehicle make and model. Apr 1, 2023 · ⇐ Datasets Introduction Data Format Downloading the Dataset Using the KITTI Dataset in Python Prerequisites Install the Required Libraries Load the Dataset Understanding Calibration and Timestamp Data in 3D Vision Applications Intrinsic Matrix Extrinsic Matrix Calibration Data (calib. It contains high-resolution aerial images covering different real-world situations with different acquisition sensors, angles and times, flight altitudes, resolutions (5-45 cm ground pixel size), weather and lighting conditions, as well as urban and rural acquisition regions Sep 7, 2022 · Aerial Multi-Vehicle Detection Dataset: Efficient road traffic monitoring is playing a fundamental role in successfully resolving traffic congestion in cities. Dataset Download and Paper(s) ONCE Dataset (One millioN sCenEs)- Huawei Corp. Checkpoint object detector for autonomous vehicle detector; Test object detector on high density of ambulances in vehicles; Train ambulance detector This dataset consists of images of variety of Indian Licence Plates from across 20+ states in India. Vehicle-Dataset车辆检测数据集：总共3000张，共标注了21个类别，包含自行车(bicycle),公共汽车(bus),汽车(car),摩托车(motorbike)等常见的车辆类别； 已经将标注格式转换其VOC数据格式了，可以直接用于深度学习目标检测模型训练; 3. Note the dataset is available through the AWS Open-Data Program for free download; SAR_vehicle_detection_dataset-> 104 SAR cloud detection data set Note the dataset is available through the AWS Open-Data Program for free download; SAR_vehicle_detection_dataset-> 104 SAR cloud detection data set DAWN emphasizes a diverse traffic environment (urban, highway and freeway) as well as a rich variety of traffic flow. Autorickshaw; Truck; Car; Bus Jul 14, 2022 · The raw Indian vehicle dataset contains 383 images. Download Dataset. Possible applications of the dataset could be in the surveillance industry. ai This dataset is an extremely challenging set of over 50,000+ original Vehicle images captured and crowdsourced from over The . Road Vehicle Images Dataset is a dataset for an object detection task. - dsmlr/Car-Parts-Segmentation The dataset was annotated by a combination of machine learning algorithms and humans. Those splits combine our datasets and also third-party datasets (such as PKLot). It contains 5502 scene images with 210 unique fine-grained labels of multiple vehicle types organized in a three-level hierarchy. Extracted from Waymo self-driving vehicles, the data covers a wide variety of driving scenarios and Introducing the most comprehensive and up-to-date open source dataset on US car models on Github. This dataset consists of a total of 3000 images, with 2100 designated for train and 900 for valid. 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. Since the robot’s size is comparable to a human, the data has a different perspective than the other car-based datasets. Datasets were constructed by logging CAN traffic via the OBD-II port from a real vehicle while message injection attacks were performing. 2020. However some work is necessary to reformat the dataset. Pixel Level Segmentation Based Drivable Road Region Detection and Steering Angle Estimation Method for Autonomous Driving on Unstructured Roads The KITTI Vision Benchmark Suite}, booktitle = {Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2012} } For the raw dataset, please cite: @ARTICLE{Geiger2013IJRR, author = {Andreas Geiger and Philip Lenz and Christoph Stiller and Raquel Urtasun}, title = {Vision meets Robotics: The KITTI Dataset}, journal = {International This dataset is collected by DataCluster Labs. You may also want to have a look at my colab and use some parts of it to quickly build your detection function. 1109/ACCESS. We do encourage new benchmarks, let us know if additional data (e. txt file corresponds to the n-th image in the data directory, and is indicated by the "Image Number" field in each row. Dataset Download and large-scale full-surround 3D multi-object detection and tracking dataset collected Download Open Datasets on 1000s of Projects + Share Projects on One Platform. 8, pp. Data collection occurs at varying frequencies: OBD data is recorded at a rate of 1Hz, equating to one record per second, while accelerometer data is sampled at a higher frequency of 25Hz, resulting in 25 data points per second. Many aspects are involved in deploying this core technology. 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 valuable resource for computer vision and object detection enthusiasts. ai This dataset is an extremely challenging set of over 3,000+ images of excavator vehicles from multiple construction site The dataset can also be used for evaluating the performance of vehicle detection. 🤖 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. Furthermore, each image is available in Aug 2, 2019 · This dataset, called UFPR-ALPR dataset, includes 4,500 fully annotated images (over 30,000 LP characters) from 150 vehicles in real-world scenarios where both the target vehicle and the camera (inside another vehicle) are moving. CNRPark+EXT_Trained_Models_mAlexNet. Download the KITTI dataset and extract it to the data folder. Explore a dataset of 9 fifteen-second driving scene videos in MP4 format, ideal for training machine learning models in vehicle detection, object recognition, and traffic analysis. LISA Traffic light dataset: Download: Day Train Set (12. We extracted the in-vehicle data from KIA SOUL. The INRIA Person dataset is a dataset of images of persons used for pedestrian detection. Includes dataset creation, model training on Colab, comparison of results, and a user-friendly app for generating predictions. A dataset for traffic light detection, tracking, and classification. Comprising a substantial 8218 images, the dataset boasts an impressive 26098 annotated objects distributed among 8 distinct classes, encompassing vehicles like car, light_motor_vehicle, multi-axle, along with others Extensive experiments on the DroneVehicle dataset demonstrate the flexibility and effectiveness of the proposed method for cross-modality vehicle detection. Due to the affordability of such drones, computer vision solutions for traffic Our Car Accident Detection and Prediction~(CADP) dataset consists of 1,416 video segments collected from YouTube, with 205 video segments have full spatio-temporal annotations. Top government data including census, economic, financial, agricultural, image datasets, labeled and unlabeled, autonomous car datasets, and much more. Some research groups provide clean and annotated datasets. Citation. A large vehicle detection dataset with almost two million annotated vehicles for training and evaluating object detection methods for self-driving cars on freeways. Access the dataset. 174394-174409, 2020, doi: 10. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. You can train this model using your dataset or use a pre-trained one. The images are taken with the resolution of 1137 × 640 pixels in JPG format. CarDD dataset Aug 19, 2022 · The testing set contains 1,804 images in three video clips. This dataset was created as part of building a license plate detection system camera for gate, YOLO labeling was done. These objects are classified into seven distinct categories, including common vehicles like car, two_wheeler, as well as blur_number_plate, and other essential elements such as auto, number_plate, bus, and truck. It focuses on plate recognitions and related detection systems, providing detailed information on plate numbers, country, bbox labeling and other data as well as corresponding masks for recognition tasks - Get the data all the splits used in our experiments. (Journal of Visual Communication and Image Representation 2015) KAIST_rgbt: "Multispectral Pedestrian Detection: Benchmark Dataset and Baseline Jul 1, 2023 · Download full -text PDF Read full with state-of-the-art deep methods for different tasks and provide comprehensive analyses to highlight the specialty of car damage detection. TJU-DHD is a high-resolution dataset for object detection and pedestrian detection. Best of all, it's completely free to use! CMU Visual Localization Data Set: Dataset collected using the Navlab 11 equipped with IMU, GPS, Lidars and cameras. The YOLO-v2 [2] is used to detect the bounding box of vehicles. Jul 12, 2023 · Abstract: This paper introduces a multimodal range dataset namely for radio detection and ranging (radar) and light detection and ranging (LiDAR) specifically targeting the urban environment. Licence plate images consist of a wide variety of vehicles like bikes, cars, trucks, auto etc. Here you can download the trained models used in our experiments. cv — perfect for computer vision, machine learning, and AI projects. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their Jan 2, 2020 · Vehicle detection is one of the widely used features by companies and organizations these days. Ł. With over 15,000 entries covering car models manufactured between 1992 and 2023, this repository offers valuable information for anyone looking to incorporate car data into their applications. With YOLOv8 as our object detection backbone, we will be equipped to detect vehicles precisely, making it the perfect foundation for building a real-time vehicle tracking system. Object Detection Vehicle Detection and Counting Video and Output Video. Each classifier is built using deep learning techniques and pre-trained models to accurately identify and categorize images based on their 🤖 This repository houses a collection of image classification models for various purposes, including vehicle, object, animal, and flower classification. - GitHub - VisDrone/VisDrone-Dataset: The dataset for drone based detection and trackin The Oxford RobotCar-- Unlabelled-- Provides raw LIDAR based sparse depth maps. Further, Most of the car images in this dataset are of Chinese models. Pawełczyk and M. g. 1%, respectively, which is a May 22, 2024 · SAR_vehicle_detection_dataset由武汉大学（WHU）的研究团队于2019年创建，旨在为高分辨率SAR图像中的车辆检测提供一个标准化的数据集。 该数据集整合了来自Sandia MiniSAR和FARAD SAR的104张高分辨率图像，涵盖了Ku-band、Ka-band和X-band三种频段，共包含2958个车辆目标。 The Boxy vehicle detection dataset. Train object detector to differentiate between a car, bus, motorcycle, ambulance, and truck. Autonomous driving datasets that are free to use commercially (MIT) - GitHub - klintan/av-datasets: Autonomous driving datasets that are free to use commercially (MIT) The data in gt10913. DENSE: Gated2Depth-- Unlabelled-- Provides raw LIDAR based sparse depth maps Oct 9, 2024 · Car Damage Detection: A computer vision project using YOLOv8 and Faster R-CNN to identify and localize car body defects like scratches, dents, and rust. This dataset represents a very challenging set of images of vehicles of niche classes. Learn more Car_Dent_Scratch_Detection(1) by Sindhu. The dataset consists of images obtained from a front facing camera attached to a car. It has been constructed by amalgamating data from various We'll continue adding various object detection models trained on the vehicle orientation dataset and the synthetic vehicle orientation dataset. ai 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 Oct 7, 2024 · This blog post seeks to provide a concise summary of eight free self-driving-car datasets utilized across various sectors of the automotive industry and their applications in the real world. The images are mostly of 1080p resolution, but there is also some images with 720p and other resolutions. 99 million annotated vehicles in 200,000 images. KITTI One of the most valuable datasets since its release in 2012, KITTI has been the instrument for advancing autonomous driving. A vehicle detection dataset with 1. odometry information) would be useful, and feel free to extend the dataset's scripts on Github. Labelled Images of transport vehicles and number plates . This dataset could be used to create a vehicle and license plate detection object detection model. . For the detection stage, we tested two separate models, one using object detection which has been well explored for the task of number plate detection in the past, the second using a semantic segmentation based model for number plate detection. 4 GB) Download: Night Train Set (0. The dataset for drone based detection and tracking is released, including both image/video, and annotations. Dataset information Download (account required) This dataset is uniquely diverse, with images captured from real-world environments, making it a valuable resource for researchers and developers working on bicycle detection and vehicle classification. DriveU Traffic Light Dataset (DTLD) Argoverse 2 (AV2) is a collection of three datasets for perception and forecasting research in the self-driving domain. After data cleaning and annotation, 416,314 vehicle images of 40,671 identities are collected. 6 GB) The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. This dataset can be used for imge recognition and object detection for driver assistance systems, autonomous driving, etc. The provided dataset is a sample of real-time data collected from around 30 different four-wheeled vehicles over a span of four months. Model Refinement for Superior Detection: Applying transfer learning techniques to fine-tune the YOLOv8 model, with a special focus on detecting vehicles from aerial CARLA (CAR Learning to Act) is an open simulator for urban driving, developed as an open-source layer over Unreal Engine 4. All vehicles in the dataset are divided into six categories: Bus, Microbus, Minivan, Sedan, SUV, and Truck. By extending our workshop paper [1] to a larger scale, this dataset focuses on the range sensor-based place recognition and provides 6D baseline Oct 25, 2018 · Download: Vehicle Detection Dataset. You might also try using this dataset to do person-detection and tracking. Those dataset may be used by any object detection frameworks like YOLO or SSD if the bounding boxes are provided. The "x" and the "y" are the x-y coordinates FLIR_ADAS: Teledyne FLIR Free ADAS Thermal Dataset v2. The Rawseeds Project: Indoor and outdoor datasets with GPS, odometry, stereo, omnicam and laser measurements for visual, laser-based, omnidirectional, sonar and multi-sensor SLAM evaluation. Trained Models. Contribute to ViswanathaReddyGajjala/Datasets development by creating an account on GitHub. Jun 1, 2024 · Pre-trained models and datasets built by Google and the community Dataset of license plate photos for computer vision. Roboflow provides a great guide on creating a license plate and vehicle object detection model. It consists of hours of traffic scenarios recorded with a variety of sensor modalities, including high-resolution RGB, grayscale stereo cameras, and a 3D laser scanner. Open an issue if you need some specific pre-trained weights. 9211 open source vehicles images. Different driving environments: highway and urban. The car is equipped with sensors, cameras, a compute engine, and decision algorithms that surround the Apr 25, 2022 · JRDB is a dataset collected by a social robot called JackRabbot. Download free computer vision datasets labeled for object detection. 2020-Radar+ RGB Fusion For Robust Object Detection In Autonomous Vehicle. Our CarDD contains 4,000 high-resolution car damage images with over 9,000 well-annotated instances of six damage categories (examples are shown in Figure 1 ). To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster. How to download the Stanford Cars dataset in Python? Load the Stanford Cars dataset with one line of code using Activeloop Deep Lake the open-source package made in Python. Indian vehicle dataset for license plate detection and recognition Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. MIT DriveSeg Dataset. Let's begin: Where to find LiDAR data for autonomous driving? I have a list of a few datasets. The category includes images of trains, cars, ships, trucks, planes, motorcycles, bridges, emergency vehicles, road signs, bicycles, scooters, and license plates. Most modern approaches for solving this task rely on training image-based detectors using large-scale vehicle detection datasets such as nuScenes or the Waymo Open Dataset. The notebooks directory contains exemple notebooks on how to Prepare a custom dataset of images annotated for automatic detection of military Jun 1, 2022 · This dataset is mainly focuses on vehicle licence plate. Note: the dataset contains many duplicated bounding boxes for the same subject which we have not corrected. yaml file that describes the dataset, classes, and other necessary information. Mar 14, 2024 · To this end, we contribute with Car Damage Detection (CarDD), the first public large-scale dataset designed for vision-based car damage detection and segmentation. Learn more Download Helmet Detection Model : Download the helmet detection model (helmet-nonhelmet_cnn. The annotations are licensed by Google LLC under CC BY 4. 2 We collect about 6,000 aerial images under different illumination conditions and viewing angles from different places in Taiwan. Learn more Dataset for Object detection for Different types of vehicles with 8 categories Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Each of the rows signifies a different channel of radar data, as described below: a) X Distance, b) Y Distance, c) Standard Deviation in X Distance, d) Standard Deviation in Y Distance, e) Radial Cross-Section [RCS], f) Velocity in X direction, g) Velocity in Y direction, h) Acceleration in X direction, i) Acceleration in Y direction, j This dataset is collected by DataCluster Labs. Contribute to foamliu/Car-Recognition development by creating an account on GitHub. Possible applications of the dataset could be in the utilities and automotive industries. 7 MB) trained models used in the experiments presented in . Updated Sep 22, Vehicle detection, tracking AIR-CD-> a challenging cloud detection data set called AIR-CD, with higher spatial resolution and more representative landcover types; AIR-PolSAR-Seg-> a challenging PolSAR terrain segmentation dataset; HRC_WHU-> High-Resolution Cloud Detection Dataset comprising 150 RGB images and a resolution varying from 0. It consists of: Three color video sequences captured at different times of the day and illumination settings: morning, evening, sunny, cloudy, etc. Vehicle Detection Image Dataset: Suitable for Object Detection Tasks Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Download: LISA Traffic Sign Dataset — Annotated Frames. With its high-resolution images, detailed annotations, and comprehensive coverage of diverse environments, the dataset offers immense potential for developing accurate and efficient AI-driven solutions. The dataset is captured from a stereo rig mounted on a car, with a resolution of 640 x 480 (layered), and a framerate of 13–14 FPS. …download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster. 8% and 98%, 96. udtdtjalnrrcoqcloczhgpvmhnrxqizqfrtrpvphjgjpnaehnnad