Método para la clasificación de imágenes de moda con TensorFlow
In the fashion business there is a wide variety of clothing, each with its own name to identify what type of garment it is. This article describes a method to generate a model that identifies the type of clothing based on 15 categories, applying the technology of image identification and machine lea...
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| 主要な著者: | , , , |
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| フォーマット: | Online |
| 言語: | spa |
| 出版事項: |
Universida de Sonora
2023
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| オンライン･アクセス: | https://invurnus.unison.mx/index.php/INVURNUS/article/view/88 |
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| 要約: | In the fashion business there is a wide variety of clothing, each with its own name to identify what type of garment it is. This article describes a method to generate a model that identifies the type of clothing based on 15 categories, applying the technology of image identification and machine learning such as convolutional neural networks under the use of the Google TensorFlow library to develop a fashion clothing classifier. Concluding after the testing phase 95% accuracy was achieved. While with an external test set 70% was achieved, considering the quality of the images as one of the possible reasons for failure. |
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