New image recognition method proposed based on large-scale dataset

Researchers from the Shenzhen Institutes of Advanced Technology (SIAT) of the Chinese Academy of Sciences have proposed a product image recognition method with guidance learning and noisy supervision. The study was published in Computer Vision and Image Understanding. Instead of collecting product images by laborious and time-intensive image capturing, the team introduced a novel large-scale dataset called Product-90. Consisting of more than 140K images with 90 categories, the dataset was related to Clothing1M (a large-scale public dataset designed for learning from noisy data with human supervision), but contained many more categories. Images were collected from reviews on e-commerce websites.