Fashion and Retail

Empowering the Digital Transformation
of the Fashion Industry

AI-Powered Visual Recognition for Fashion

At Ingedata, We provide high-quality image annotation for clothing, accessories, patterns, and textures. Improve the performance of your computer vision models for product recognition, visual search, automated tagging, and virtual try-on applications with data that’s accurate and scalable.

The Future of Fashion with Smart Manufacturing

Tomorrow’s Fashion: Powered by Smart Manufacturing

The benefits of Industry 4.0 and smart manufacturing are redefining how fashion and footwear companies operate. With AI and automation, brands can offer customized fashion products at scale, access deeper consumer insights, and optimize internal processes. Smart manufacturing enables sustainable supply chains, improves energy efficiency, and reduces the carbon footprint of the textile industry.

At Ingedata, we provide the structured data that supports this transformation—from production-level datasets to consumer behavior analytics—helping fashion brands move toward eco-conscious, mass-customized innovation.

Our Offer

Our Annotation Capabilities for Fashion and Retail AI

At Ingedata, we offer a full suite of data annotation solutions to support the development of Computer Vision and Machine Learning models for fashion and retail. Whether you're building product recognition systems, virtual fitting rooms, or automated inventory tools, our services ensure clean, consistent, and contextually relevant training data.

Bounding boxes are among the most common segmentation tools. They define object shape by X and Y coordinates and are quick to implement. While fast, they may include surrounding elements, which can reduce the precision of your detection model.

Polygons accurately outline specific regions of interest while excluding background noise that could reduce your model’s performance. Though not as detailed as semantic segmentation, polygons are much faster to draw—making them ideal for high-volume, accurate training datasets.

We tag images with single or multiple classification labels based on pre-defined fashion categories—developed in collaboration with domain experts. This ensures your model is aligned with market standards, whether you’re categorizing by type, style, color, or brand.

Trusted by Leaders in Fashion and Retail

We provide high-end data services thanks to our proven methodology and, most importantly, our exceptional team of 500. At Ingedata, we’re more than a data company—we’re a people company. Our mission is to bring skilled talent from developing countries onto the global AI stage, combining social impact with technical excellence. Our partners trust us not only for the quality of our work, but for the ethics and people-first values that drive it.

« Ingedata is a crucial partner to fasten the time to market of our AI models. They act with a strong collaborative mindset. I was impressed by the way they onboarded a specialist team in Fashion, that was trained specifically using our previous work with the Institut Français de la Mode. »

Jaafar Bounaim CEO @Miroa

Our expertise

More than a fashion phenomenon, AI is transforming and shaping the Fashion industry process from design to sale

One of the bases used for data annotation by our Fashion business experts is an ontology created by the 'Institut Français de la Mode'.

Understanding market trends to lead a luxury brand’s decisions on their future collections.

  • Data collection of social media images from key fashion influencers
  • Product recognition to segment and classify them
  • Features analysis to further add metadata to the products
  • Dataset analysis to ensure data homogeneity

Our Case Studies

Learn more about our approach and explore our case studies

Ready to accelerate your digital transformation with high-quality data?

Let’s Build Smarter Fashion Together