Sai Tanuja Agathamudi’s Post

Excited to share a project milestone! Leveraging YOLOv8 for object detection on a dynamic flight dataset has been an exhilarating journey. AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society Society - Artificial Intelligence Medical and Engineering Researchers Society Society-Artificial Intelligence Medical and Engineering Researchers Society, we've implemented YOLOV8 to accurately detect and track objects in real-time from aerial footage. This cutting-edge model's robustness in handling moving objects has significantly enhanced our capability to analyze and understand dynamic environments. Key highlights: Precision and Speed: YOLOv8's advanced architecture ensures precise detection of various objects, even in challenging scenarios like fast-moving aerial perspectives. Performance Boost: By leveraging state-of-the-art techniques, we've achieved remarkable improvements in both accuracy and speed, crucial for real-world applications. Our commitment to pushing the boundaries of computer vision drives us to explore new frontiers in Al-driven solutions. Stay tuned as we continue to innovate and apply these advancements across industries. Sai Satish #ObjectDetection #ComputerVision #AI #YOLOv8 #Innovation #TechSolutions #Allnnovation #DataScience #DeepLearning

Excited to share a project milestone! Leveraging YOLOv8 for object detection on a dynamic flight dataset has been an exhilarating journey. * AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society Society - Artificial Intelligence Medical and Engineering Researchers Society, we've implemented YOLOV8 to accurately detect and track objects in real-time from aerial footage. This cutting-edge model's robustness in handling moving objects has significantly enhanced our capability to analyze and understand dynamic environments. Key highlights: Precision and Speed: YOLOv8's advanced architecture ensures precise detection of various objects, even in challenging scenarios like fast-moving aerial perspectives. Performance Boost: By leveraging state-of-the-art techniques, we've achieved remarkable improvements in both accuracy and speed, crucial for real-world applications. Our commitment to pushing the boundaries of computer vision drives us to explore new frontiers in Al-driven solutions. Stay tuned as we continue to innovate and apply these advancements across industries. Sai Satish #ObjectDetection #ComputerVision #AI #YOLOv8 #Innovation #TechSolutions #Allnnovation #DataScience #DeepLearning

🚗🔍 Excited to share my latest project on vehicle detection using YOLO v8 object detection! 🚀 In this project, I leveraged the power of YOLO (You Only Look Once) v8 to accurately detect and classify vehicles in real-time. The key features of this project include: 🔸 High Accuracy: Achieved precise detection and classification of various types of vehicles. 🔸 Real-time Performance: Optimized for speed to ensure real-time processing. 🔸 Robustness: Effectively handles different lighting conditions and occlusions. This project demonstrates the potential of advanced deep learning techniques in improving traffic management, enhancing security, and contributing to smart city initiatives. 🌟 Key Learnings: Implementing YOLO v8 architecture for object detection. Training the model on custom datasets for improved accuracy. Optimizing the model for real-time performance. Special thanks to the open-source community and all the resources that made this project possible! Check out the detailed project and results here. #MachineLearning #DeepLearning #YOLOv8 #ObjectDetection #ComputerVision #AI #VehicleDetection #SmartCities #AIMERSSociety

🚀 Exciting news! I'm thrilled to share our latest breakthrough in computer vision - an advanced object tracking project powered by YOLOv8! 🎥🔍 We've pushed the boundaries of real-time tracking accuracy, specifically tailored for cyclist datasets. Our system seamlessly integrates multiple classes, maximizing precision in various scenarios. 🚴♂️💨 Key features: • Real-time tracking with unparalleled accuracy • Optimized for cyclist datasets • Multi-class integration for comprehensive analysis This project opens up new possibilities in sports analysis, urban planning, and safety monitoring. Imagine the potential for enhancing cyclist safety and optimizing traffic flow in smart cities! 🏙️ A huge shoutout to the incredible Indian servers team and the brilliant minds at AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society for their invaluable support throughout this journey. Your expertise and resources have been instrumental in bringing this project to life! 🙏 Curious to learn more or explore potential applications? Let's connect! Drop a comment or send me a message - I'd love to discuss how this technology can drive innovation in your field. 💡 #ComputerVision #ObjectTracking #YOLOv8 #AI #MachineLearning #CyclistSafety #Innovation #AIMERS #AIMERSOCIETY #APSCHE #DATASCIENCE #OPENCV #HUGGINGFACE #ARTIFICIALINTELLIGENCE #MACHINELEARNING #DEEPLEARNING #BIGDATA #COMPUTERVISION #NATURALLANGUAGEPROCESSING #TECHNOLOGY #INNOVATION #ROBOTICS #AUTOMATION

🔍 YOLOv9: Revolutionizing Object Detection with Programmable Gradient Information 🔍 I am thrilled to unveil an innovative leap in object detection technology: YOLOv9, a new milestone in the YOLO series, known for pushing the boundaries of computer vision. ❓ What is YOLOv9? YOLOv9 introduces the groundbreaking Programmable Gradient Information (PGI), enhancing model training efficiency and performance. Coupled with the GELAN network architecture, YOLOv9 excels in processing efficiency and accuracy, setting new standards for object detection tasks. 💡 Innovative Features of YOLOv9 This version leverages PGI for optimizing input data relevance and employs the lightweight GELAN architecture for superior parameter efficiency. These features ensure that YOLOv9 not only outperforms its predecessors but also paves the way for new applications in computer vision, from real-time surveillance to autonomous driving. 🌐 Implications for Computer Vision YOLOv9's advancements signify a major step forward in developing more intuitive and responsive AI systems. Its ability to learn effectively from complex environments heralds a new era of machine perception. 🚀 Looking Forward with YOLOv9 The introduction of YOLOv9 marks a promising advance towards achieving unprecedented accuracy and speed in real-time object detection, opening doors to innovative applications across various fields. Discover more about this fascinating development and its potential impact on the future of AI and computer vision here: YOLOv9 Paper: https://lnkd.in/dbNPM5Zs Paper Implementation Repo: https://lnkd.in/dx-EJKKF #ArtificialIntelligence #YOLOv9 #ObjectDetection #ComputerVision #Innovation

This is a powerful tool, just did "pose estimation" and this accurately analyze human movements in real time , opening up new possibilities for applications in sport analytics , healthcare and beyond , The precision and efficiency of Ultralytics 's YOLOv8 architecture makes it a game changer in the field ! #PoseEstimation #ComputerVision #YOLOv8 #AI #MachineLearning #Ultralytics

--- 🌟 **Transforming Vision with YOLO Object Detection!** 🤖📷 In the realm of computer vision, YOLO (You Only Look Once) stands out as a game-changer for object detection. Here’s why YOLO is revolutionizing the way we detect and interpret objects in images and videos: 1. **Speed and Efficiency**: YOLO processes images in real-time, making it incredibly fast and efficient for applications requiring quick response times. 2. **Single Network**: Unlike other methods that repurpose classifiers, YOLO frames object detection as a single regression problem, simplifying the process and improving speed. 3. **Accuracy**: By predicting multiple bounding boxes and class probabilities for those boxes, YOLO ensures high accuracy in identifying and locating objects. 4. **Versatility**: YOLO excels in diverse scenarios, from autonomous driving to security surveillance and even in retail for inventory management. 5. **Open Source**: The open-source nature of YOLO encourages collaboration and innovation, enabling continuous improvements and a vibrant community of developers. 6. **Real-World Applications**: YOLO is being used in various fields, such as healthcare for medical imaging, agriculture for crop monitoring, and smart cities for traffic management. Harnessing the power of YOLO allows organizations to develop intelligent systems that see and understand the world in real-time, driving smarter decisions and innovative solutions. Ready to explore the potential of object detection? Dive into YOLO today and witness the future of vision technology! #YOLO #ObjectDetection #ComputerVision #AI #MachineLearning #DeepLearning #TechInnovation#AIMERS ---

#Day2 at #AME2024. After killing it on the bowling lanes last night, James Finch, P.Eng., Joshua Pickard and Luke Richard are back in booth 712 with our thermal inspection demo powered with our OneView Inspection Software. If you use thermal processes to make parts and products and want to use thermal imaging and AI to inspect them inline, be sure to drop by. Advanced Manufacturing Expo Industry 4.0 Accelerator Lean Rocket Lab #thermalinspection #qualityinspection #AI #thermalinspectionsoftware #machinevision #thermalimaging

Part 2 Unleash the Power of ClassWise Object Counting with Ultralytics and YOLOv8 🚀 As a computer vision enthusiast, I'm thrilled to share a powerful technique for ClassWise object counting using the cutting-edge Ultralytics YOLOv8 object detection model. This approach enables you to not only detect objects but also count them based on their respective classes, opening up a world of possibilities for various applications. YOLOv8, the latest iteration of the renowned YOLO (You Only Look Once) object detection algorithm, offers unparalleled performance and accuracy. Coupled with the user-friendly Ultralytics ecosystem, we can leverage this state-of-the-art model to count objects on a class-by-class basis with ease. Whether you're working on surveillance systems, inventory management, or any other application that requires precise object counting, this technique can prove invaluable. Imagine being able to count cars, pedestrians, and bicycles in a traffic scene or quantify different product categories in a warehouse – the possibilities are endless! To get you started, I've included a code snippet from a recent LinkedIn post by Muhammad Rizwan Munawar, showcasing the power of this approach. Check it out and unleash the potential of ClassWise object counting in your projects! Source: https://lnkd.in/dk79Xx9Y #Ultralytics #YOLOv8 #ObjectCounting #ComputerVisionProjects #OpenSource #PyTorch #ArtificialIntelligence #InnovativeTech #FutureIsNow #ComputerVision #ObjectDetection #CodeSnippet #AI #DeepLearning #MachineLearning #DataScience

We're set up at booth H5.H10, waiting to talk with all of you at LEAP! Our team is excited to discuss the transformative impact of our Generative AI technologies. Our core mission is to transform the 3D data synthesis and simulation fields by showcasing our innovative solutions that completely redefine the 3D modeling automation process. Swing by booth H5.H10 to say hi, and learn more about our technologies! See you 🎇 #LEAP24 #LEAP2024 #GenerativeAI #TechEvent #SyntheticData #Simulation