Sökning: "Clothing Attribute Recognition"

Hittade 2 uppsatser innehållade orden Clothing Attribute Recognition.

1. 1. Leveraging Adult Fashion to Enhance Children’s Fashion Recognition

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Angel Luis Igareta Herráiz; [2021]
   Nyckelord :CNN; Machine Learning; Transfer Learning; Fashion Analysis; Children’s Fashion; Clothing Attribute Recognition; CNN; maskininlärning; överföringsinlärning; modeanalys; barnmode; igenkänning av klädesattribut;

   Sammanfattning : The future of the fashion industry is expected to be online, thus a significant amount of research is being conducted in the field of fashion image analysis. Currently, a task that places a heavy workload on online stores is manually tagging new garments, including attributes such as category, color, pattern, or style. LÄS MER

3. 2. Semi- Supervised and Fully Supervised Learning for Fashion Images : A Comparison Study

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Carl Mannerstråle; [2021]
   Nyckelord :Semi- Supervised Learning; Convolutional Neural Networks; Fashion E- Commerce; Fashion Classification; Deep Learning; Labeled Data; Semi- Övervakad Inlärning; Djupa Neurala Nätverk; Mode E- handel; Klassificering av Modebilder; Djupinlärning; Annoterad Data;

   Sammanfattning : Image recognition is a subfield in computer vision, representing a set of methods for analyzing images. Image recognition systems allow computers to automatically find patterns and draw conclusions directly from images. LÄS MER