Decoding Fashion Week Trends: How WGSN Uses AI and Image Tagging!

Ever curious about how 5 million images and live global trend analysis are managed in real time by our experts?

Q: What is the process for tagging images from catwalks, and what categories do you use?
A: Our global network of fashion specialists meticulously reviews each full-length shot from every collection, categorizing them into 27 distinct garment and accessory types via our specialized digital asset management tool. These images are then edited to focus on color, cropped accordingly, and tagged with detailed categories including type of silhouette or item, specific design elements, types of embellishments, materials used, item lengths, patterns, types of sleeves, and neckline styles.

For instance, a particular piece might be classified as a dress with tags like:

• Product Type: Cocktail Dress, Empire/Babydoll, Bubble/Balloon
• Fabric: Crinkle/Wrinkle, Shine
• Color: Neutral
• Decorative Details: Ruffles, Embroidery
• Length: Knee-Length
• Sleeve Style: Short Sleeves, Puff/Gathered Sleeves
• Neckline: Sweetheart
• Pattern: Floral
• Additional Design Features: Backless

Recently, we have enhanced the speed at which we deliver data to our clients by incorporating AI to initially tag, crop, and color-code key elements of the Catwalk data within minutes of its receipt. Our team of human experts quickly follows up, reviewing and refining the AI’s preliminary work by correcting and augmenting data where necessary to maintain our unmatched level of precision.

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