Neural Networks for Fashion Image Classification and Visual Search
| Autor: | Sumer Bangera, Shunichi Araki, Li Fengzi, Swapna Samir Shukla, Shashi Kant |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Visual search Computer Science - Machine Learning Information retrieval Contextual image classification Artificial neural network Computer science Computer Vision and Pattern Recognition (cs.CV) Computer Science - Computer Vision and Pattern Recognition Object (computer science) Bottleneck Machine Learning (cs.LG) Upload Search algorithm Transfer of learning |
| Popis: | We discuss two potentially challenging problems faced by the ecommerce industry. One relates to the problem faced by sellers while uploading pictures of products on the platform for sale and the consequent manual tagging involved. It gives rise to misclassifications leading to its absence from search results. The other problem concerns with the potential bottleneck in placing orders when a customer may not know the right keywords but has a visual impression of an image. An image based search algorithm can unleash the true potential of ecommerce by enabling customers to click a picture of an object and search for similar products without the need for typing. In this paper, we explore machine learning algorithms which can help us solve both these problems. |
| Databáze: | OpenAIRE |
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