Annotation for AI and Machine Learning for Fashion Industry

Seeing the changing dynamics of apparel manufacturing with the intervention of technology, it is noticeable that artificial intelligence (AI) in the fashion industry is more prevalent than ever better to understand the market demands and apparel production process. A number of issues and concerns indicate the need to employ AI in clothing & apparel industry, i.e., honestly in the whole garment ecosystem, to automate, innovate, and reinvent business activities such as trend spotting, cloth design, manufacturing, and transportation, sales, and retailing.

Developing AI Training Data out of Training Datasets for Fashion

Precisely performed apparel image annotation can enable fashion companies to develop training data for AI-powered machine assembly lines for fast-paced garment manufacturing and supply. Access to high-quality training datasets for fashion, i.e., images & videos of clothing and lifestyle accessories, is significant. The training data can be developed to train machine learning models for integrating AI in fashion & retail. A fashion annotation company’s role is critical in providing appropriately annotated and labeled data for the fashion industry to streamline automation based on AI and computer vision.

Types of Data Annotation for Integrating AI in Fashion & Retail

Bounding Box for Fashionable Clothing

Bounding Box for Fashionable Clothing

Semantic Segmentation for Set of Clothes

Semantic Segmentation for Set of Clothes

Items Tagging for Fashionable Shopping

Items Tagging for Fashionable Shopping

Annotation for Visual Search in Media

Annotation for Visual Search In Fashion

Semantic Segmentation for Wearables

Semantic Segmentation for Wearables

Annotations for Wearable Accessories

Annotations for Wearable Accessories

Cogito’s Approach for Applying AI in Fashion Industry through Annotation

Cogito, which stands at the forefront in the league of fashion annotation companies, has 1500+ annotators, who know what it takes to propagate training datasets for fashion for automating clothes manufacturing sequential processes, e.g., laying, marking, cutting, stitching, checking, finishing, pressing, and packaging. Cogito holds to a systematic approach to image annotation in fashion. This method automatically builds a classifier from previously annotated/labeled examples (i.e., the training set). Once an arbitrary image (i.e., an image in the test set) has been determined, the classifier predicts the labels/tags most likely to be attached to it.

Why Choose Cogito for Data Annotation in Fashion Industry

Leveraging our fashion annotation services for annotating and marking up images and videos can work well to enhance the online apparel visual search of clothes and other wearable articles. We know how to annotate different characteristics of clothes and their manufacturing processes with appropriate tagging & labeling, allowing online search algorithms to recognize and identify them automatically.