Big Vision

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

ROS is a common component in robotics, with many technical tutorials and resources available online. However, through this blog, our objective is to provide a detailed understanding of the internal workings of ROS2, how DDS works, the need for DDS, the ROS1 middleware architecture, and the data flow in ROS2. https://lnkd.in/g9tqC9Kg Additionally, we discuss how to use this tool in Python, covering various topics such as packages, nodes, topics, publishers, subscribers, and services. At the end, for more hands-on understanding, we have created a capstone project where we integrate Monocular SLAM with ROS2 using Python. We hope this will be a beginner-friendly gateway for anyone wanting to learn ROS2 and get into robotics. #Robotics #ROS #ROS2 #DDS #MonocularSLAM #TechTutorial #RoboticsLearning

This article is the second part of the Robotics blog series. Here, we cover what SLAM is, what monocular visual SLAM is, and how to implement it in Python.  https://lnkd.in/dfpkQ-kj We've explored key concepts in robotics perception, including image formation, epipolar geometry, mapping, bundle adjustment, and loop closure.  It's a great starting point for anyone learning about SLAM and Visual SLAM. #robotics #python #visualslam

Deployment of YOLOv8 on OAK-D-Lite: A practical guide to deploying a fine-tuned YOLOv8 model on the OAK-D-Lite edge AI device for real-time pothole detection. The article covers model conversion, device setup, and running inferences, aimed at improving road safety with efficient, embedded computer vision technology. https://lnkd.in/gUP_sTkt #yolov8 #oakd #pothole #yolomodel #computervision #ai #objectdetection

Discover how to improve kidney stone detection using AI! This article guides you through fine-tuning the YOLOv10 model on a custom dataset, speeding up diagnosis drastically—from minutes per report to nearly instant results. Ideal for medical professionals and AI enthusiasts looking to push the boundaries of medical imaging technology. https://lnkd.in/g7RcYwAJ #AIinHealthcare, #MedicalImaging, #YOLOv10, #MachineLearning, #DeepLearning, #AIResearch #healthcare

🤖2024 is the year of robotics! Robotics is the future, and as AI and Robotics development accelerate, we can expect to see a wave of innovations across various industries and domains. So, it's important to learn and understand the field of robotics. In the article, we cover various robotics concepts involving Perception, SLAM, Planning, and Control, as well as different tools such as ROS2, Gazebo Ignition, and more. 🔗 Read the full post here: https://lnkd.in/g3EJ_HWc #robotics #ai #technology  #innovation #automation #robots

Data annotation is a tedious and time-consuming task, but it's crucial for creating high-quality datasets, which are essential for training accurate AI models. To start simplifying annotation, learn how to build an automated annotation tool using OpenCV with techniques like color-based segmentation, morphological operations, and contour detection to streamline your annotation workflow. https://lnkd.in/guyGC5vh #dataannotation #annotation #aimodels #opencv #python #annotationtool

Explore how to use contour detection with OpenCV (Python/C++) to find object borders and apply this technique to various images. A great resource for boosting your computer vision skills. https://lnkd.in/gkdSQHF6 #ComputerVision #OpenCV #ContourDetection #Python #ImageProcessing #TechLearning #AI #MachineLearning