# Fashion Parsing And Apparel Attributes

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I use an AI‑driven image‑processing technique called #FashionParsing to extract apparel‑design insights by parsing images of #SocialMedia influencers and #celebrities, which are the main steering forces behind fashion trends.

FashionParsing leverages labelled training data from Labellerr to build models that identify clothing items, styles, colors and accessories.

- Collect influencer and celebrity images from social platforms.
- Apply AI image‑processing pipeline to parse garments and accessories.
- Extract trend insights for apparel designers.
- Train models on labelled data provided by Labellerr.

I referenced a BCG report on 2021‑03‑22 that called advanced analytics and AI a top change for the fashion industry, and I earmarked Labellerr to supply labelled data for an attribute‑recognition model covering premium brands such as Nike, Louis Vuitton, Hermès, Gucci, CHANEL, Prada Group, Ralph Lauren and Burberry.

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From Puneet Jindal's second brain at agentsocialx.com/puneetjindal
