African foods for deep learning-based food recognition systems dataset
African foods have socio-cultural significance that extends through migration, tourism, and marriage. Africans travel and integrate within the continent through intermarriages. There are over a thousand cultural aspects that differ such as language, food, dressing, beliefs and customs. Food is one o...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924000659 |
| _version_ | 1797256373976694784 |
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| author | Grace Ataguba Rock Ezekiel James Daniel Emeka Ogbuju Rita Orji |
| author_facet | Grace Ataguba Rock Ezekiel James Daniel Emeka Ogbuju Rita Orji |
| author_sort | Grace Ataguba |
| collection | DOAJ |
| description | African foods have socio-cultural significance that extends through migration, tourism, and marriage. Africans travel and integrate within the continent through intermarriages. There are over a thousand cultural aspects that differ such as language, food, dressing, beliefs and customs. Food is one of the cultural aspects that Africans embrace quickly as they migrate and integrate socio-culturally. We considered the limited representation of African food research in the HCI community and propose to contribute the rich significant food datasets from two African countries: Cameroon and Ghana. List of Cameroonian foods collected are: Ekwang, Eru and Ndole. In addition, the list of Ghanaian foods we collected are: Jollof Rice, Palm-nut Soup and Waakye. Given the cultural diversity and our study's goal for cultural inclusion, we interacted with at least two locals from the selected countries, and they confirmed that these foods were universally recognized within their respective countries. The datasets were collected from YouTube, Facebook, the field (restaurants), Creative Common Attribution Google Images, and other Creative Commons Attribution sources. A total of 204 images of Ekwang, 206 images of Eru and 205 images of Ndole were collected. In addition, we collected a total of 347 images of Jollof Rice, 392 images of Palm-nut Soup and 400 images of Waakye. We present a meta-data description of the data, quality assessments of our dataset and opportunities for the HCI community to explore in the future. |
| first_indexed | 2024-03-08T06:21:47Z |
| format | Article |
| id | doaj.art-d60a02c982d8474299aa1497cc9dbe75 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-24T22:20:43Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-d60a02c982d8474299aa1497cc9dbe752024-03-20T06:09:40ZengElsevierData in Brief2352-34092024-04-0153110092African foods for deep learning-based food recognition systems datasetGrace Ataguba0Rock Ezekiel1James Daniel2Emeka Ogbuju3Rita Orji4Department of Computer Science, Dalhousie University, Halifax, Nova Scotia B3H 4R2, Canada; Corresponding author.Department of Computer Science, Federal University, P.M.B 1154 Lokoja, NigeriaDepartment of Computer Science, Federal University, P.M.B 1154 Lokoja, NigeriaDepartment of Computer Science, Federal University, P.M.B 1154 Lokoja, NigeriaDepartment of Computer Science, Dalhousie University, Halifax, Nova Scotia B3H 4R2, CanadaAfrican foods have socio-cultural significance that extends through migration, tourism, and marriage. Africans travel and integrate within the continent through intermarriages. There are over a thousand cultural aspects that differ such as language, food, dressing, beliefs and customs. Food is one of the cultural aspects that Africans embrace quickly as they migrate and integrate socio-culturally. We considered the limited representation of African food research in the HCI community and propose to contribute the rich significant food datasets from two African countries: Cameroon and Ghana. List of Cameroonian foods collected are: Ekwang, Eru and Ndole. In addition, the list of Ghanaian foods we collected are: Jollof Rice, Palm-nut Soup and Waakye. Given the cultural diversity and our study's goal for cultural inclusion, we interacted with at least two locals from the selected countries, and they confirmed that these foods were universally recognized within their respective countries. The datasets were collected from YouTube, Facebook, the field (restaurants), Creative Common Attribution Google Images, and other Creative Commons Attribution sources. A total of 204 images of Ekwang, 206 images of Eru and 205 images of Ndole were collected. In addition, we collected a total of 347 images of Jollof Rice, 392 images of Palm-nut Soup and 400 images of Waakye. We present a meta-data description of the data, quality assessments of our dataset and opportunities for the HCI community to explore in the future.http://www.sciencedirect.com/science/article/pii/S2352340924000659African foodsDatasetsSocio-culturalMachine learningHuman computer interactionFood recognition systems |
| spellingShingle | Grace Ataguba Rock Ezekiel James Daniel Emeka Ogbuju Rita Orji African foods for deep learning-based food recognition systems dataset Data in Brief African foods Datasets Socio-cultural Machine learning Human computer interaction Food recognition systems |
| title | African foods for deep learning-based food recognition systems dataset |
| title_full | African foods for deep learning-based food recognition systems dataset |
| title_fullStr | African foods for deep learning-based food recognition systems dataset |
| title_full_unstemmed | African foods for deep learning-based food recognition systems dataset |
| title_short | African foods for deep learning-based food recognition systems dataset |
| title_sort | african foods for deep learning based food recognition systems dataset |
| topic | African foods Datasets Socio-cultural Machine learning Human computer interaction Food recognition systems |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924000659 |
| work_keys_str_mv | AT graceataguba africanfoodsfordeeplearningbasedfoodrecognitionsystemsdataset AT rockezekiel africanfoodsfordeeplearningbasedfoodrecognitionsystemsdataset AT jamesdaniel africanfoodsfordeeplearningbasedfoodrecognitionsystemsdataset AT emekaogbuju africanfoodsfordeeplearningbasedfoodrecognitionsystemsdataset AT ritaorji africanfoodsfordeeplearningbasedfoodrecognitionsystemsdataset |