SuroTex: Surrounding texture datasetMendeley Data
Texture analysis can be considered as one of the most important topics in the field of image processing and computer vision. However, the existing texture datasets such as KTH-TIPS, KTH-TIPS2, USPTex, DTD, and ALOT still have limitations which causes the resulting analysis on different texture class...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-04-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000241 |
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| author | Muhammad Ardi Putra Wahyono Agus Harjoko |
| author_facet | Muhammad Ardi Putra Wahyono Agus Harjoko |
| author_sort | Muhammad Ardi Putra |
| collection | DOAJ |
| description | Texture analysis can be considered as one of the most important topics in the field of image processing and computer vision. However, the existing texture datasets such as KTH-TIPS, KTH-TIPS2, USPTex, DTD, and ALOT still have limitations which causes the resulting analysis on different texture classification algorithms to be somewhat unreliable. The two main reasons behind this problem are the limited number of texture classes and the non-uniformity of the image sizes. To address this issue, we introduce a new texture classification dataset named SuroTex (Surrounding Texture) Dataset. The dataset, which was collected back in November 2023 in Ulsan, South Korea, contains 5000 image textures. These number of samples are divided into 50 classes, each with 100 RGB samples of size 400 × 400 pixels. Future researchers can use SuroTex for a benchmark dataset both for general image classification or specifically for texture classification tasks. Additionally, models trained on this dataset can also act as a pre-trained model which can further be fine-tuned for similar purposes such as texture-based material classification. |
| format | Article |
| id | doaj-art-d4005aa398eb4cb79fb53b81a0242499 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-d4005aa398eb4cb79fb53b81a02424992025-01-26T05:04:03ZengElsevierData in Brief2352-34092025-04-0159111292SuroTex: Surrounding texture datasetMendeley DataMuhammad Ardi Putra0 Wahyono1Agus Harjoko2Department of Computer Science and Electronics, Universitas Gadjah Mada, IndonesiaDepartment of Computer Science and Electronics, Universitas Gadjah Mada, IndonesiaCorresponding author.; Department of Computer Science and Electronics, Universitas Gadjah Mada, IndonesiaTexture analysis can be considered as one of the most important topics in the field of image processing and computer vision. However, the existing texture datasets such as KTH-TIPS, KTH-TIPS2, USPTex, DTD, and ALOT still have limitations which causes the resulting analysis on different texture classification algorithms to be somewhat unreliable. The two main reasons behind this problem are the limited number of texture classes and the non-uniformity of the image sizes. To address this issue, we introduce a new texture classification dataset named SuroTex (Surrounding Texture) Dataset. The dataset, which was collected back in November 2023 in Ulsan, South Korea, contains 5000 image textures. These number of samples are divided into 50 classes, each with 100 RGB samples of size 400 × 400 pixels. Future researchers can use SuroTex for a benchmark dataset both for general image classification or specifically for texture classification tasks. Additionally, models trained on this dataset can also act as a pre-trained model which can further be fine-tuned for similar purposes such as texture-based material classification.http://www.sciencedirect.com/science/article/pii/S2352340925000241Computer VisionImage processingFeature extractionImage classificationMaterial classification |
| spellingShingle | Muhammad Ardi Putra Wahyono Agus Harjoko SuroTex: Surrounding texture datasetMendeley Data Data in Brief Computer Vision Image processing Feature extraction Image classification Material classification |
| title | SuroTex: Surrounding texture datasetMendeley Data |
| title_full | SuroTex: Surrounding texture datasetMendeley Data |
| title_fullStr | SuroTex: Surrounding texture datasetMendeley Data |
| title_full_unstemmed | SuroTex: Surrounding texture datasetMendeley Data |
| title_short | SuroTex: Surrounding texture datasetMendeley Data |
| title_sort | surotex surrounding texture datasetmendeley data |
| topic | Computer Vision Image processing Feature extraction Image classification Material classification |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925000241 |
| work_keys_str_mv | AT muhammadardiputra surotexsurroundingtexturedatasetmendeleydata AT wahyono surotexsurroundingtexturedatasetmendeleydata AT agusharjoko surotexsurroundingtexturedatasetmendeleydata |