Indian vehicle image dataset. Here we are proposing a new dataset “Indian Roads Dataset” (IRD) based on Indian roads captured from the roads of New Delhi and Chandigarh in day & night conditions. The annotation files contain the ground truth of the target vehicles. The model has been trained on more than 2500 images. Over the past few years, numerous databases have been developed for the use of researchers in this field of AVD. Fine-Grained Vehicle Detection (FGVD) dataset in the wild, captured from a moving camera mounted on a car. Key Features: 27 open source Number-Plate-detected-Label images. Dataset Features Dataset size : 20,000+ Captured by : Over 1000+ crowdsource contributors Resolution : 100% of the images are HD This dataset consists of images of variety of Indian Licence Plates from across 20+ states in India. 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 Oct 8, 2021 · We propose a novel high-resolution dataset named, “Dataset for Indian Road Scenarios (DIRS21)” for developing perception systems for advanced driver assistance systems. 1K Ambulance related labeled image datasets T HE TABLE ON THE LEFT SHOWS THE NUMBER OF IMAGES OF THE BACK AND FRONT OF VEHICLES , AND THE TABLE ON THE RIGHT SHOWS THE NUMBER OF IMAGES ACCORDING TO THE TYPE OF VEHICLE . py #Run demo with command line arguments python demo_video. Refresh. Train object detector to differentiate between a car, bus, motorcycle, ambulance, and truck. Section This dataset contains 627 images of various vehicle classes for object detection. To use object detection and classification problem for Indian Vehicle dataset which contains robust data. The car was driven around Hyderabad, Bangalore cities and their outskirts. Introduction The dataset consists of Indian vehicle Licence Plate images for number plate recognition and object detection. In this paper we introduce an Indian Number (licence) plate dataset with 16,192 images and 21683 number plates, along with that we introduce a benchmark model is available. It consists of images of Feb 7, 2024 · 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 and rural roads. #Run demo on sample video with default arguments python demo_video. 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 and rural roads. { Indian Vehicle Detection Dataset }, type This dataset is can be used for image classification, object detection, image segmentation and other computer vision tasks, like image recognition and image generation. labeling the connecting components, the region will be removing from the input image. The dataset is particularly unique for its focus on diverse and chaotic driving conditions, often encountered in cities like Hyderabad, India. However some work is necessary to reformat the dataset. ITD consists of 4000 images for training and 1000 images for testing. The annotated images are accessible using the API key and project ID. Figure 5. Emergency vs Non-Emergency Vehicle Classification Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. In order to maximize the diversity in text in the test dataset, we have ensured that each test image contains a unique vehicle Dataset of Indian license plate photos for computer vision. shown to perform well across a multitude of datasets in dif-ferent scenarios. py --input "Input_video_path" --output Segmentation Dataset Summary. ai This dataset is an extremely challenging set of over 8000+ original Fire and Smoke images captured and crowdsourced 157 open source vehicle-detection images and annotations in multiple formats for training computer vision models. The dataset consists of more than 10000 images with 45object classes. 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. Dataset Year Images Resolution Country Caltech Cars 1999 126 896 ×592 American EnglishLP 2003 509 640 ×480 European UCSD-Stills 2005 291 640 ×480 American ChineseLP While existing datasets have primarily focused on well-organized, controlled settings, IDD-3D takes a different approach by capturing the complexities of real-world driving scenarios. Unexpected token < in JSON at position 4. This dataset has a collection of 383 raw The dataset consists of niche Indian vehicle images for classification and object detection. About 1000 images were taken for the dataset from the paper - A Robust Real-Time Automatic License Plate Recognition Based on the YOLO Detector by Laroca et. 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. It contains 5502 scene images with 210 unique fine-grained labels of multiple vehicle types organized in a three-level hierarchy. 7 classes of cars with 4165 images. SyntaxError: Unexpected token < in JSON at position 4. Learn more Computer Vision is the scientific subfield of AI concerned with developing algorithms to extract meaningful information from raw images, videos, and sensor data. Indian Number Plates dataset by Atif Siddiqui Mar 2, 2023 · Designing an automatic vehicle detection (AVD) system from still images or videos would be a useful tool to cater to the requirements of the traffic management system. and a lot of images were manually clicked for odd and more difficult cases. We have manually cropped full-size images to contain only the vehicle number plates. Conventional methods applied to categorize vehicles from extensive datasets often lead to errors, misclassifications, and Aug 16, 2022 · Here are our top picks for Vehicle Detection Datasets: KITTI Benchmark Dataset. Jul 30, 2021 · The Argoverse dataset includes 3D tracking annotations for 113 scenes and over 324,000 unique vehicle trajectories for motion forecasting. keyboard_arrow_up. content_copy. 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 Jul 14, 2022 · The raw Indian vehicle dataset contains 383 images. The deep learning platform used for training was TensorFlow, which is offered as a library in Python. Learn more The signal control unit can be programmed to terminate the round robin sequence preferentially upon detection of an emergency vehicle. DATS_2022 is a complete dataset with images from rural as well as urban Indian traffic scenes. Please note that the real-world car image has been edited to preserve anonymity. Download pretrained model from here and copy it inside "data" folder. The described problem is addressed by training a CNN on a dataset of images of ambulances in the Indian context. Indian Vehicle Dataset (v25, 2024-04-14 3:44pm), created by hf Jul 12, 2021 · Description: The dataset features a compilation of more than 10,000 annotated thermal images of people, cars, other vehicles, bicycles, and dogs in day and night time scenarios. This dataset consists of images of variety of Indian Licence Plates from across 20+ states in India. The dataset provided here is a demo version. It is observed that there is very little or no dataset available on these niche vehicles like autorickshaw, tempo, trucks, etc. Indian Vehicle dataset for Detection,Classification problems. 21227 License plate detection using YOLOv4 trained on custom data. Roboflow hosts the world's biggest set of open-source car datasets and pre-trained computer vision models. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster. . Apr 26, 2023 · The ROI is decided based on operational constraints imposed by the local authority utilizing the ANPR solution for law enforcement. The images are mostly of 1080p resolution, but there is also some images with 720p and other resolutions. Jul 1, 2019 · A custom dataset of 210 vehicle images with different colors at various distances and lighting conditions was used for the proposed method captured on my smart phone Galaxy J7 Model SM-j700F at Empowering Innovation in AI Video Analytics, Security Surveillance, and Intelligent Traffic Management using Artificial Intelligence This dataset is an extremely challenging set of over 10,000+ original Vehicle images captured and crowdsourced from over 1000+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. an even larger dataset with 5 million images and 200k Jun 12, 2024 · The classification of vehicles presents notable challenges within the domain of image processing. For data acquisition, we utilized 12- megapixel camera with an f/1. This dataset consists of 5093 images, those were collected under various scenes, weather, season, and This dataset is an extremely challenging set of over 8,000+ original Auto vehicle images captured and crowdsourced from over 1200+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster. 8 aperture with 1920 X 1080 pixels resolution. 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. It aims to address the challenges unique to If the issue persists, it's likely a problem on our side. Roboflow hosts the world's biggest set of open-source transportation datasets and pre-trained computer vision models. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to This dataset is collected by DataCluster Labs. Given that the number Indian vehicle images used for fine-tuning the detection module and yolov5 were same, we concluded that it is more sample efficient to develop an ANPR solution for Indian conditions based on COCO dataset rather than CCPD dataset. EXPERIMENTAL RESULTS The proposed Indian vehicle number plate detection system was evaluated using a dataset comprising images captured from various locations and under diverse lighting conditions across India. There are images from different types of vehicles standard on Indian roads, which is essential because each Aug 4, 2023 · The dataset images are labeled by drawing the bounding boxes on the target vehicles in each image and generating an annotation file for the corresponding image using the dataset labeling toolbox. This dataset is an extremely challenging set of over 8000+ original Fire and Smoke images captured and crowdsourced from over 1200+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. The data analysis is performed on the automobile dataset utilizing machine learning algorithms in order to study the various relationships between attributes of the considered Indian automobile dataset and attempts to consolidate the findings of the relationship between the attributes or statistically, finding the correlation between them and Detection and Classification for Indian Licence Plates. These projects can help you get started with things like object speed calculation, object tracking, autonomous 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. May 31, 2020 · Indian Driving Dataset (IDD) is a collection of autonomous driving annotated street-level images captured on Indian roads, and formatted to facilitate use for the purpose of training AI systems Figure 5. Download dataset 2. Created by IDD Project. The performance of the Jul 14, 2022 · XML files for these annotations are generated and saved which are used to extract the labels for training various machine learning algorithms. To access the raw and annotated images, the code is available as python code in the same repository. 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 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. These images were captured and sourced from over 600 urban and rural locations, with each image undergoing manual review and verification by computer vision experts at Datacluster Labs. Dataset Features Dataset size : 8000+ Captured by : Over 1200+ crowdsource contributors Resolution : 99% images HD and above (1920x1080 pre-trained on COCO dataset and fine-tuned on Indian vehicle images. The raw image of the dataset is available at Doi Number of the article (IEEE dataport): 10. The dataset includes one class of pedestrians and 13 different types of vehicles commonly found on Indian roads. The dataset consists of images obtained from a front facing camera attached to a car. This dataset can be used by any object detection frameworks like YOLO or SSD. ai 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 The Construction Vehicle Images dataset is an exceptionally demanding collection comprising more than 20,000 original images of construction vehicles. Traditional models suffer from inefficiency, prolonged training times for datasets, intricate feature extraction, and variable assignment complexities for classification. Licence plate images consist of a wide variety of vehicles like bikes, cars, trucks, auto etc. 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 professionals at Datacluster Labs. This dataset only scratches the surface of the Open Images dataset for vehicles! Use Cases. It is primarily The dataset contains a total of 16,192 images and 21,683 plates. For the This dataset is collected by DataCluster Labs, India. The images have been taken in varied weather conditions in daylight, evening, and night. IV. These images are derived from the Open Images open source computer vision datasets. I'll keep updating the dataset as more… Dec 27, 2018 · The objective was to ensure road safety by creating a dataset which suits our Indian needs. The left table in the tables below (table 1) shows the number of images of back and front plates, and the table on the right shows the number of types of vehicles in the images. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster. The category includes images of cars from around the world, curated and annotated by the Roboflow Community. This dataset is an extremely challenging set of over 20,000+ original Construction vehicle images captured and crowdsourced from over 600+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. 158 open source Indian-Trucks images plus a pre-trained Indian Vehicle Detection model and API. However, most of them are not acceptable in the Indian scenarios due to certain practical constraints like the road It consists of 10,000 images, finely annotated with 34 classes collected from 182 drive sequences on Indian roads. Figure showing (a) sensors on the vehicle (cameras, LiDAR) and their respective orientations, (b) image of the vehicle used along with the sensor rig. The category includes images of trains, cars, ships, trucks, planes, motorcycles, bridges, emergency vehicles, road signs, bicycles, scooters, and license plates. It consists of 10,000 images, finely annotated with 34 classes collected from 182 drive sequences on Indian roads. These projects can help you get started with things like object speed calculation, object tracking, autonomous vehicles, and smart-city transportation innovations. al. Jun 11, 2022 · Secondary data: JSON Code of Annotated image available in this repository. This dataset contains images from two different cities and presents traffic lights in two different orientations namely supported and suspended. The label set is expanded in comparison to popular benchmarks such as Cityscapes, to account for new classes. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. For fine annotation, images from forward-facing cameras of a stereo pair were Jun 17, 2023 · Furthermore, India’s overcrowding makes traffic management difficult and unusual. trjwxa diwkjm fmvwg laei qffsia ddbrjdnz birzb vqsrr bksots dzjf
© 2019 All Rights Reserved