Chitrakshara: A Large Multilingual Multimodal Dataset for Indian languages
📰 ArXiv cs.AI
Chitrakshara is a large multilingual multimodal dataset for Indian languages to improve Vision-Language Models (VLMs)
Action Steps
- Collect and preprocess the Chitrakshara dataset
- Use the dataset for large-scale pretraining of VLMs
- Fine-tune the pretrained models on specific downstream tasks
- Evaluate the performance of the models on Indian language tasks
Who Needs to Know This
AI engineers and researchers working on multimodal models, particularly those focused on Indian languages, can benefit from this dataset to enhance their models' performance and representation of diverse languages
Key Insight
💡 The Chitrakshara dataset can help improve the representation of Indian languages in Vision-Language Models (VLMs)
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📸💡 Introducing Chitrakshara, a large multilingual multimodal dataset for Indian languages! #AI #MultimodalLearning
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