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InFashAI

AI technologies are revolutionizing the fashion industry, but available datasets are generally western-centric. InFashAI creates datasets and AI models that are truly representative of the fashion world's diversity — starting with African fashion.

InFashAI AI-generated fashion analysis

The Problem We Solve

AI models trained on under-diversified datasets have limited generalization capabilities and may not perform well on African fashion styles — limiting the adoption of AI within the African fashion industry. Ai4Innov initiated InFashAI to build a large volume of data on African fashion, making it the backbone for AI tools adapted to African fashion.

See It in Action

Watch our AI-powered captioning tool automatically describing African fashion images.

The Datasets

We curated two versions of the InFashAI dataset by gathering scattered African fashion data accessible online using web scraping methods.

15,716
Images in InFashAIv1
60,636
Images in InFashAIv2
76,352
Total Images Curated

Each image comes with its description — ready for fashion image captioning and realistic fashion image generation from text.

What InFashAI Does

From detection to generation, InFashAI brings African fashion into the AI era.

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Smart Detection

Automatically detects clothing, patterns, and accessories in fashion images.

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Multilingual Captions

Generates precise descriptions in multiple languages for global reach.

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Global Showcase

Showcases African creations on digital platforms worldwide.

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Image Generation

Supports realistic fashion image generation from text descriptions.

Under the Hood

Built with state-of-the-art research and powerful infrastructure.

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Neural Captioning

Deep learning models for neural image captioning tailored to fashion.

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Web Scraping Pipeline

Large-scale automated data collection from diverse online sources.

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Oracle Cloud

Cloud infrastructure provided by Oracle for Research.

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Afrikréa Partnership

Industry collaboration with Africa's leading fashion marketplace.

Computer Vision Deep Learning Oracle Cloud NLP Image Captioning Web Scraping Python

Open Source & Research

Explore our datasets on GitHub and read the published research.

Hacheme, G. and Sayouti, N. (2021). "Neural Fashion Image Captioning: Accounting for Data Diversity."
arXiv preprint arXiv:2106.12154
Read on arXiv →

Our Partners

InFashAI is made possible thanks to the generous support of our partners.