Abstract
These days there are two main problems which the ecommerce industry is facing, the first problem is where the sellers find it difficult to post a picture of a clothing item on their website or any platform for sale, sometimes it can lead to misclassifications of a any clothing item or can lead to absence from search results. Another problem which concerns is in placing an order when the customer is unaware of the product or doesn’t know the name of the product but has the picture representation of it. Hence by allowing buyers to click a photograph of an object and then search for the related products without actually typing for the product name, an image-based search algorithm can help ecommerce reach its full potential. We have proposed a Fashion Classification Model which will classify the image and put them into that specific category.
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Rawate, S., Vayadande, K., Chaudhary, S., Manmode, S., Suryavanshi, R., Chanda, K. (2024). Fashion Classification Model. In: Pawar, P.M., et al. Techno-societal 2022. ICATSA 2022. Springer, Cham. https://doi.org/10.1007/978-3-031-34644-6_7
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DOI: https://doi.org/10.1007/978-3-031-34644-6_7
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