Empowering Multimodal AI with Diverse Image Captioning

Client's Challenge & Our Solution

A leading tech company developing multimodal AI models approached FutureBeeAI to collect a large-scale image dataset and provide multilingual captions for each image. They required 100,000 images from over 100 different locations worldwide, and wanted each image to have a caption across multiple languages, including Gujarati, Hindi, Tamil, Telugu, Malayalam, German, French, Spanish, Arabic, and Chinese.

FutureBeeAI leveraged its extensive global crowd community to ethically source diverse and high-quality images from real-world environments across various regions. We then utilized our native language experts to generate accurate captions for each image, ensuring cultural relevance and linguistic precision. We completed the entire project within 6 weeks, providing the client with a comprehensive, multilingual image-captioning dataset for their multimodal AI model.

Outcome & Features:

Collected 100,000 high-quality images from over 100 global locations, ensuring a diverse range of real-world environments.

Generated captions for each image in 10 languages, ensuring linguistic accuracy and cultural relevance.

Completed the entire project in just 6 weeks, providing a fully annotated, multilingual dataset ready for multimodal AI training.