AI for fake Detection in Fashion and E-commerce industries: Use Cases and technologies

Photo by Aylin Çobanoğlu on Unsplash

Examples of how AI technologies recognize counterfeits

E-commerce sites and second-hand markets are the hardest hit by the sale of counterfeit goods. Therefore, It is especially important to use advanced and smart detection technologies to screen for fakes.

How Does Entrupy’s Luxury Authentication Work? from Viemo

The enable technologies behind fake detection

Artificial intelligence companies use computer vision to recognize fakes. Data scientists design machine learning algorithms to detect details. These details separate legit items from counterfeits.

1. Image Classification

Through the image classification technology, the clothing such as: skirts, short sleeves, hats, shorts and other categories are automatically classified. The corresponding application scenarios of image classification are: automatic clothing sorting, content recommendation attribute classification, etc. Classification technology can also be divided into: classification based on clothing style, classification based on clothing attributes.

Resnet, from[5]

2. Image Segmentation

For a fashion picture, the image segmentation technology can distinguish the clothes, pants, and various accessories of the figure in the picture at the pixel level.

Mask R-CNN, from[3]

3. Detection

Detection can be divided into target detection and key point detection, and both of them are coordinate points that need to regression clothing according to the picture. It has great technical value in clothing search and recognition.

Yolo, from[4]

The related open & commercial datasets

There is an old Chinese saying that missing an inch, a thousand miles away.

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