shoe_1196 Computer Vision Project
Updated a year ago
Here are a few use cases for this project:
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Ecommerce Shoe Retail: The model could be used by online shoe retailers to automatically tag images of their inventory based on shoe attributes. This would help in product categorization and allow users to search for shoes based on specific features, like "shoes with textured panel" or "double-stitch shoes".
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Fashion Trend Analysis: The model could be used to analyze fashion trends by assessing the recurring features in popular shoe styles. Information such as heel style, presence of laces, texture, and panel features could be examined over time to predict trends.
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Footwear Design: Shoe designers could use this model to identify specific attributes within shoe designs. This would help them in integrating or modifying these features in their own designs and innovating new styles.
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Second-hand Marketplace: In online second-hand marketplaces, the model could help in automatically describing the attributes of listed shoes, making the listing process easier for sellers and searching easier for buyers.
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Automated Quality Control: Manufacturers could use the model during their quality control process to automatically detect manufacturing inconsistencies like irregular stitching or misplaced panels in shoes.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
shoe_1196_dataset,
title = { shoe_1196 Dataset },
type = { Open Source Dataset },
author = { nagarro },
howpublished = { \url{ https://universe.roboflow.com/nagarro-ffexn/shoe_1196 } },
url = { https://universe.roboflow.com/nagarro-ffexn/shoe_1196 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-05 },
}