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Scaling Data Quality with Computer Vision on Spatial Data

insideBIGDATA

In this contributed article, editorial consultant Jelani Harper discusses a number of hot topics today: computer vision, data quality, and spatial data. Computer vision is an extremely viable facet of advanced machine learning for the enterprise. Its utility for data quality is evinced from some high profile use cases.

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Vision Language Models: Introducing the new tiny VLM Moondream 2

Data Science Dojo

While language models in generative AI focus on textual data, vision language models (VLMs) bridge the gap between textual and visual data. Understanding vision language models VLMs combine computer vision (CV) and natural language processing (NLP), enabling them to understand and connect visual information with textual data.

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Building a Medical Assistant using Gemini Pro vision

Analytics Vidhya

In this article, we will see how we […] The post Building a Medical Assistant using Gemini Pro vision appeared first on Analytics Vidhya. After knowing the possibilities of ChatGPT, several other companies have started putting their effort into building a better transformer with improved accuracy.

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Samsung’s Vision for 2027: AI Integrated Cameras with Human Vision

Analytics Vidhya

This ambitious initiative, internally dubbed “Humanoid Sensors,” aims to replicate human vision by 2027. Quite indicative […] The post Samsung’s Vision for 2027: AI Integrated Cameras with Human Vision appeared first on Analytics Vidhya.

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How do we use GPT 4o API for Vision, Text, Image, and more?

Analytics Vidhya

This refined version promises significant improvements in speed and performance, delivering enhanced capabilities across text, vision, and audio processing. This innovative model will be accessible across various […] The post How do we use GPT 4o API for Vision, Text, Image, and more? appeared first on Analytics Vidhya.

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Introducing Moondream2: A Tiny Vision-Language Model

Analytics Vidhya

Vision Language models are the models that can process and understand both visual and language(textual input) data simultaneously. These models combine techniques from Computer Vision and Natural Language Processing to understand and generate text based on the image content and language instruction.

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Transfer Learning in Computer Vision 

insideBIGDATA

In this contributed article, Ihar Rubanau, Senior Software Developer at Sigma Software Group, discusses how transfer learning has become a popular technique in computer vision, allowing deep neural networks to be trained with limited data by leveraging pre-trained models.