Big Vision

With advancements in Generative AI, voice assistants now offer real-time interactions, making conversations feel truly human. Ever wondered about the sophisticated deep learning systems that work together to create this seamless experience? This guide walks you through setting up a functional system locally using Hugging Face's Speech-to-Speech pipeline with Llama 3.1. How about a Santa voice assistant this Christmas to narrate stories to your kids? Ho Ho Ho! https://lnkd.in/gkGQMP9V #speech2speech #genai #generativeai

We have been using Gaussian Splats in our work. This tutorial by our team provides an excellent overview of the technique. https://buff.ly/3ZKhzrG

In the age of deep learning, models like YOLO have revolutionized object detection. But have you ever wondered if it's possible to achieve the same with classical computer vision techniques? With just a few lines of code, you can build an efficient object detection algorithm that runs smoothly without needing a GPU, minimizing both cost and complexity. Curious to learn how? Check out this blog to explore a more accessible and cost-effective approach to object detection using classical methods. https://lnkd.in/gGHqvmtV #opencv #movingobject #objectdetection

ColPali: A Novel Approach in Multimodal RAGIndexing a PDF of a financial report with unstructured elements like tables, images, graphs, and charts for Multimodal Retrieval Augmented Generation is a complex task that requires careful data curation. Traditional RAG systems often rely on multiple steps—OCR for text extraction, object detectors, and segmentation model for element identification in this kind of docs— leading to inefficiencies in retrieval.ColPali simplifies this by treating entire pages as images and using Vision Language Models (VLMs) to retrieve the most relevant page index based on the search query. This enables Multimodal LLMs to process documents like humans do, offering a smarter, multimodal solution for document analysis. https://lnkd.in/gcp_N7Uj #colpali #multimodalRAG #RetrievalAugmentedGeneration #VLM #Unstructred #DocumentAnalysis

Voice is one of the most efficient forms of communication. In the field of Deep Learning, OpenAI Whisper model revolutionized the Voice-to-Text task by being of the leading models for speech transcription. In this article, we explore the OpenAI Whisper model and fine-tune it on a custom Air Traffic Control Dataset for enhanced transcription for real-world applications. https://lnkd.in/gd8JT_EX

Fine-Tuning Faster R-CNN for Sea Rescue By preprocessing images into patches and using advanced techniques like SAHI, we achieved a notable boost in detecting small objects. This targeted approach to small object detection is crucial for sea rescue missions, where every second counts and drones supported by computer vision algorithms play a vital role. https://lnkd.in/gtXhFjfk #ComputerVision #SAHI #SmallObjectDetection #SeaRescue #Drone #AerialObjectDetection #AerialImagery

CLIP (Contrastive Language-Image Pretraining) from OpenAI aligns images and text by learning shared features, enabling applications like zero-shot classification and image retrieval. A CLIP-inspired model tailored for fashion allows users to search apparel by description—instantly matching text queries with relevant images. Companies like Amazon and Meesho leverage similar models to enhance product discovery, making search more efficient, intuitive, and scalable. https://lnkd.in/gKfam8tB This guide walks you through building a CLIP-like model from ground up for fashion product search achieving impressive results with just 0.5M parameters. #CLIP #OpenAI #Fashion #ProductSearch #ImageRetrieval #CLIPRetrieval #SigCLIP

Handwritten texts are challenging to recognize and digitize, especially given the importance of maintaining old documents for valuable record-keeping.Even SOTA pre-trained models like TrOCR often fall short in accuracy off the shelf. https://lnkd.in/gMKstY_8 This tutorial will guide you through fine-tuning the TrOCR model on the Goodnotes dataset, greatly enhancing its performance for reliable digitization of handwritten text documents.

Medical image segmentation is a computer vision task that involves dividing a medical image into multiple segments, where each segment represents a different object or structure of interest. This tutorial walks you through an interesting guide on fine-tuning a YOLOv9 instance segmentation model for nuclei instance segmentation. https://lnkd.in/gtCPUEQW #medicalimage #imagesegmentation #computervision #yolov9

Discover how recommendation systems power platforms like YouTube, Netflix, and Amazon to deliver personalized content and product suggestions. Whether you're new to the field or looking to deepen your understanding, this complete guide will walk you through the types, techniques, and latest advancements in recommendation systems. Ready to master the technology behind tailored experiences? Dive into the article and learn how these systems work! https://lnkd.in/guaxXEyH #RecommendationSystems #AI #MachineLearning #DeepLearning #DataScience #RecommenderSystems #TechTrends #ArtificialIntelligence #MLTutorial #TechLearning