1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPEW34M/45CTUK5 |
Repository | sid.inpe.br/sibgrapi/2021/09.06.17.20 |
Last Update | 2021:09.06.17.20.44 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2021/09.06.17.20.44 |
Metadata Last Update | 2022:06.14.00.00.29 (UTC) administrator |
DOI | 10.1109/SIBGRAPI54419.2021.00039 |
Citation Key | KuhnMore:2021:DaFiCl |
Title | BRCars: a Dataset for Fine-Grained Classification of Car Images |
Format | On-line |
Year | 2021 |
Access Date | 2024, May 06 |
Number of Files | 1 |
Size | 2622 KiB |
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2. Context | |
Author | 1 Kuhn, Daniel M. 2 Moreira, Viviane P. |
Affiliation | 1 Institute of Informatics - UFRGS 2 Institute of Informatics - UFRGS |
Editor | Paiva, Afonso Menotti, David Baranoski, Gladimir V. G. Proença, Hugo Pedro Junior, Antonio Lopes Apolinario Papa, João Paulo Pagliosa, Paulo dos Santos, Thiago Oliveira e Sá, Asla Medeiros da Silveira, Thiago Lopes Trugillo Brazil, Emilio Vital Ponti, Moacir A. Fernandes, Leandro A. F. Avila, Sandra |
e-Mail Address | viviane@inf.ufrgs.br |
Conference Name | Conference on Graphics, Patterns and Images, 34 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil (virtual) |
Date | 18-22 Oct. 2021 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2021-09-06 17:20:44 :: viviane@inf.ufrgs.br -> administrator :: 2022-03-02 00:54:15 :: administrator -> menottid@gmail.com :: 2021 2022-03-02 13:27:36 :: menottid@gmail.com -> administrator :: 2021 2022-06-14 00:00:29 :: administrator -> :: 2021 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | fine-grained computer vision car model classification |
Abstract | Fine-grained computer vision tasks refer to the ability of distinguishing objects that belong to the same parent class, differentiating themselves by subtle visual elements. Image classification in car models is considered a fine-grained classification task. In this work, we introduce BRCars, a dataset that seeks to replicate the main challenges inherent to the task of classifying car images in many practical applications. BRCars contains around 300K images collected from a Brazilian car advertising website. The images correspond to 52K car instances and are distributed among 427 different models. The images are both from the exterior and the interior of the cars and present an unbalanced distribution across the different models. In addition, they are characterized by a lack of standardization in terms of perspective. We adopted a semi-automated annotation pipeline with the help of the new CLIP neural network, which enabled distinguishing thousands of images among different perspectives using textual queries. Experiments with standard deep learning classifiers were performed to serve as baseline results for future work on this topic. BRCars dataset is available at https://github.com/danimtk/brcars-dataset. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2021 > BRCars: a Dataset... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > BRCars: a Dataset... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/45CTUK5 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/45CTUK5 |
Language | en |
Target File | SIBGRAPI_2021_cars_classifiction.pdf |
User Group | viviane@inf.ufrgs.br |
Visibility | shown |
Update Permission | not transferred |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/45PQ3RS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2021/11.12.11.46 8 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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