…On the other hand, G5 has images of crosswalks during the day or at night with multiple cars and license plates (LPs).
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A high-quality, balanced dataset of 330,000 images featuring various types of Chinese license plates. The dataset is generated using Generative Adversarial Networks (GANs), ensuring excellent image quality and a balanced distribution of different license plate types. This dataset is perfect for training and evaluating license plate recognition models. Note: In order to ensure the balance of the characters, there may be some license plate numbers that do not conform to common sense (for example, all letters), but this phenomenon does not affect the training
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The Chinese City Parking Dataset (CCPD) is a dataset for license plate detection and recognition. It contains over 250k unique car images, with license plate location annotations.
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The Iranis Dataset is a Large-scale dataset of Farsi license plate characters containing a large-scale dataset with more than 83,000 images of Farsi numbers and letters collected from real-world license plate images captured by various cameras.
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This dataset includes 4,500 fully annotated images (over 30,000 license plate characters) from 150 vehicles in real-world scenarios where both the vehicle and the camera (inside another vehicle) are moving We collected 1,500 images with each camera, divided as follows: - 900 of cars with gray license plates; - 300 of cars with red license plates; - 300 of motorcycles with gray license plates. in a text file: the camera in which the image was taken, the vehicle’s position and information such as type (car or motorcycle), manufacturer, model and year; the identification and position of the license plate, as well as the position of its characters.
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CD-HARD comprises 102 images featuring vehicles with oblique license plates sourced from the Cars dataset. The dataset was presented in the 'License Plate Detection and Recognition in Unconstrained Scenarios' research paper.
The application-oriented license plate (AOLP) benchmark database has 2049 images of Taiwan license plates. The background are really cluttered, with road sign and multiple plates in one image.
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…The dataset was presented in the research paper titled "A Robust Attentional Framework for License Plate Recognition in the Wild."
…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 position and identification of their license plates.
The ChineseLP dataset contains 411 vehicle images (mostly of passenger cars) with Chinese license plates (LPs).
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We present a structured benchmark dataset for a representative vibroacoustic problem: Predicting the frequency response for vibrating plates. The vibrating plates benchmark dataset consists of in total 12,000 varied plate designs and accompanying vibration patterns, when the plates are excited by a harmonic force. These vibration platterns give the vibration velocity at every location of the plate orthogonal to its surface. The plate designs incorporate randomly placed beadings, indentations in the plate surface. The beadings stiffen the plates and completely change the resulting vibration patterns. Additionally, the size, thickness and damping loss factor of the plates are varied.
This dataset aims at evaluating the License Plate Character Segmentation (LPCS) problem. The experimental results of the paper Benchmark for License Plate Character Segmentation were obtained using a dataset providing 101 on-track vehicles captured during the day.
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…download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai This dataset is an extremely challenging set of over 20,000+ original Number plate Device used : Captured using mobile phones in 2020-2022 Usage : Number plate detection, ANPR, Number plate recognition, Self driving system, etc.
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 cities and villages across India - Diversity : Various lighting conditions like day, night, varied distances, view points etc. - Device used : Captured using mobile phones in 2020-2022 - Usage : Number plate detection, ANPR, Number plate recognition, Self driving system, etc.
…It is also labeled with sufficient license plates and spatiotemporal information, such as the BBoxes of plates, plate strings, the timestamps of vehicles, and the distances between neighbouring cameras
…An important feature of the proposed dataset is that it has images of two different license plate (LP) layouts: Brazilian and Mercosur (to maintain consistency with existing works, we refer to “Brazilian
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SSD (Sub-slot Dialog) dataset: This is the dataset for the ACL 2022 paper "A Slot Is Not Built in One Utterance: Spoken Language Dialogs with Sub-Slots".
…This LineCoverage-database is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/ The data was processed at University of North Carolina © OpenStreetMap contributors OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF).
…<a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.
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…It has 2,409 annotated objects divided into five classes: transmission tower, insulator, spacer, tower plate, and Stockbridge damper, which vary in size (resolution), orientation, illumination, angulation It has 2,409 annotated objects divided into five classes: transmission tower, insulator, spacer, tower plate, and Stockbridge damper, which vary in size (resolution), orientation, illumination, angulation | Average Precision | |--------------------|-----------------| | Transmission tower | 0.900 | | Insulator | 0.894 | | Spacer | 0.856 | | Tower plate
Raw StarCraft II data is subject to processing under the Blizzard end user license agreement (EULA), and in special cases Blizzard AI and Machine Learning License may be applied. https://www.blizzard.com/en-us/legal/fba4d00f-c7e4-4883-b8b9-1b4500a402ea/blizzard-end-user-license-agreement https://blzdistsc2-a.akamaihd.net/AI_AND_MACHINE_LEARNING_LICENSE.html
Nutrition5k is a dataset of visual and nutritional data for ~5k realistic plates of food captured from Google cafeterias using a custom scanning rig.
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The Annotated Germs for Automated Recognition (AGAR) dataset is an image database of microbial colonies cultured on an agar plate.
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Dataset outline This repository contains a novel time-series dataset for impact detection and localization on a plastic thin-plate, towards Structural Health Monitoring applications, using ceramic piezoelectric procedure of low-velocity, low-energy impact events that includes at least 3 repetitions for each unique experiment, while the input measurements come from 4 PZT sensors placed at the corners of the plate To the best of our knowledge, we are the first, to publish a public dataset that contains PZT sensors measurements concerning low-velocity, low-energy impact events in a thin plastic plate.
…Please refer to: https://github.com/Kaszanas/SC2EGSet_Dataset License Information This dataset is licensed under the following license: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
The People's Speech is a free-to-download 30,000-hour and growing supervised conversational English speech recognition dataset licensed for academic and commercial usage under CC-BY-SA (with a CC-BY subset The data is collected via searching the Internet for appropriately licensed audio data with existing transcriptions.
Street View House Numbers (SVHN) is a digit classification benchmark dataset that contains 600,000 32×32 RGB images of printed digits (from 0 to 9) cropped from pictures of house number plates.
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…Please respect their LICENSE.
MIT licenseDPCSpell-Bangla-SEC-Corpus is a large-scale parallel corpus for Bangla spelling error correction.
…This corpus has several outstanding characteristics: hundreds of hours of aligned audio from a diverse set of readers about a diverse set of topics in a well-researched textual genre licensed under a free license (CC BY-SA 4.0) Annotations can be mapped back to the original html phoneme-level alignments
CommitPack is is a 4TB dataset of commits scraped from GitHub repositories that are permissively licensed.
5 domains: synthetic domain, document domain, street view domain, handwritten domain, and car license domain over five million images
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VideoLQ consists of videos downloaded from various video hosting sites such as Flickr and YouTube, with a Creative Common license.
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SA-1B consists of 11M diverse, high resolution, licensed, and privacy protecting images and 1.1B high-quality segmentation masks.
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Internet Archive videos (IACC.3) under Creative Commons licenses. The test video collection for TRECVID-AVS2016-TRECVID-AVS2018 contains 335,944 web video clips (600hr).
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Cityscapes-DVPS is distributed under Creative Commons Attribution-NonCommercial-ShareAlike license.
…localized narratives (synchronized voice, mouse trace, and text caption) 66,391,027 point-level annotations on 5,827 classes 61,404,966 image-level labels on 20,638 classes Images are under a CC BY 2.0 license , annotations under CC BY 4.0 license.
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…Corpus includes: SLUE-VoxPopuli: consists of ASR and NER tasks - CC0 license SLUE-VoxCeleb: consists of ASR and SA tasks - CCBY 4.0 license
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…QMNIST is licensed under the BSD-style license.
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The SOFC-Exp corpus contains 45 scientific publications about solid oxide fuel cells (SOFCs), published between 2013 and 2019 as open-access articles all with a CC-BY license.
…The images were recorded on 13x18 cm X-ray KODAK plates.
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…License: The licensing of the LIMA dataset depends on the source data it was derived from: If the source data has a stricter license than CC BY-NC-SA, the LIMA dataset follows the same restrictions. Otherwise, it adheres to the CC BY-NC-SA license.
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…pages = {102996}, year = {2022}, issn = {0167-4048}, doi = {https://doi.org/10.1016/j.cose.2022.102996}, url = {https://www.sciencedirect.com/science/article/pii/S0167404822003881} } License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. For more information check the link below: http://creativecommons.org/licenses/by-nc/4.0/
…and Su, Yimu and Pang, Yanwei and Li, Xuelong}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, volume={33}, number={3}, pages={1082--1092}, year={2022}, publisher={IEEE} } License This project is licensed under the MIT License. Please refer to the LICENSE file for detailed terms.
…Images were licensed from Getty Images so that researchers can use the data set to support their work.
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The Song Describer Dataset (SDD) contains ~1.1k captions for 706 permissively licensed music recordings.