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 English Non-STEM educational images, designed to support the development of advanced AI systems for visual understanding, contextual interpretation, and multimodal learning.
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 image classification, captioning, summarization, and visual reasoning tasks.
Key Use Cases
-Image classification for non-STEM concepts
-Visual question answering (VQA)
-Image captioning and description generation
-Scene understanding and contextual interpretation
-Automated tutoring and educational assistants
-Knowledge extraction from visual content
-Model evaluation and benchmarking
Dataset Specification
-Modality: Image
-Type: Educational / Non-STEM
-Language: English
-Data Nature: Real-world and curated data
Value of This Dataset
-Enables visual understanding of humanities and non-STEM subjects
-Improves contextual and semantic interpretation in AI models
-Supports multimodal AI systems (vision + text)
-Helps build AI-powered educational and tutoring platforms
-Enhances performance in image captioning and reasoning tasks
-Strengthens LLMs with visual and contextual knowledge in non-STEM domains
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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