Which fashion attributes can we detect?

Our AI analyzes every detail in an image (color, shape, fabric, and more) to extract over 2,000 unique fashion attributes. The goal is to build a complete picture of each item and cover all relevant product categories.

We currently focus on two main areas: clothing and shoes.

👗 Clothing categories

  1. Tops

  2. Dresses

  3. Skirts

  4. Pants

  5. Shorts

  6. Outerwear

👟 Shoe categories

  1. Sneakers

  2. Boots

  3. Dress shoes

  4. Sandals

Within each category, we detect specific and detailed attributes. For example:

  • Outerwear: Shape, fit, hood type, length, pocket type, …

  • Dress shoes: Shape, back type, closure, heel height, heel type, toe shape, …

✨ What else do we detect?

In addition to item-level details, we also detect broader style signals (what we call macro trends) that apply across categories:

  • Colors: warm tones, beige, pastel pink, …

  • Fabrics: leather, knit, ribbed knit, …

  • Prints & patterns: dots, animal print, leopard, …

We cross-reference these attributes with gender, geography, and season to provide a more accurate and context-aware analysis.

Each trend in Heuritech’s platform is built by combining multiple detected attributes.
For example, the trend “Purple Blue Mini Dresses” is defined by:

  1. Category = dress

  2. Length = mini

  3. Color = purple blue

  4. Gender = female