Computer Vision & Multimodal Datasets
Collection
Sample dataset from multilingual image corpus covering medical, STEM, Non-STEM, automobile, and complex domains for computer vision and multimodal AI. • 7 items • Updated • 1
Dataset Description:
This dataset is a large-scale collection of medical images Hindi, designed to support the development of advanced AI systems for medical image analysis, disease detection, diagnostic assistance, and multimodal reasoning in clinical and real-world healthcare environments.
Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, improving model performance in medical image classification, report generation, and clinical decision-support systems.
Key Use Cases
-Medical image classification and diagnosis
-Disease detection and localization
-Radiology report generation in Hindi
-Medical visual question answering (Med-VQA)
-Clinical decision support systems
-Healthcare AI model evaluation and benchmarking
-Multimodal medical reasoning systems
Dataset Specification
-Modality: Image
-Type: Medical Image
-Language: Hindi
-Data Nature: Real-world and clinically relevant data
Value of This Dataset
-Enables AI-driven healthcare solutions in Hindi
-Improves disease detection and diagnostic accuracy
-Supports regional language-based medical AI systems
-Enhances multimodal AI systems with medical domain knowledge
-Strengthens AI applications in healthcare and telemedicine
Data Creation
Procured through formal agreements and generated in the ordinary course of business.
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay AI or contact us directly.
-Ph: (91) 8303174762
-Email: vipul@infobay.ai
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