Stanford Online Products

doi:doi:10.57702/4pdx100r

Stanford Online Products

The Stanford Online Products (SOP) dataset contains 120,053 product images covering 22,634 categories. The training set is composed of 59,551 images of the first 11,318 categories and the testing set is composed of the remaining 60,502 images of the other 11,316 categories.

BibTex:

@dataset{Hyun_Oh_Song_and_Yu_Xiang_and_Stefanie_Jegelka_and_Silvio_Savarese_2024,
    abstract = {The Stanford Online Products (SOP) dataset contains 120,053 product images covering 22,634 categories. The training set is composed of 59,551 images of the first 11,318 categories and the testing set is composed of the remaining 60,502 images of the other 11,316 categories.},
    author = {Hyun Oh Song and Yu Xiang and Stefanie Jegelka and Silvio Savarese},
    doi = {10.57702/4pdx100r},
    institution = {No Organization},
    keyword = {'Classification', 'Deep Metric Learning', 'Image Clustering', 'Image Retrieval', 'Object Recognition', 'Product Images', 'Products', 'Stanford Online Products', 'deep metric learning', 'image classification', 'image retrieval', 'online products', 'product classification', 'product images', 'products'},
    month = {dec},
    publisher = {TIB},
    title = {Stanford Online Products},
    url = {https://service.tib.eu/ldmservice/dataset/stanford-online-products},
    year = {2024}
}