Ean Chukwuemeka Mikale, J.D.’s Post

#ONEAI #OffensivePlays #RealWorldLearning - "ONEAI automates the most labor intensive aspect of Machine Learning, by auto-cropping images for creating Machine Vision AI pipelines. Manually cropping images for AI Training has been one of the most heavily off-shored tasks in the AI industry. During this Offensive Play, ONEAI accepts and automatically configures batches of real-world camera or online imagery, in preparation for additional Machine Learning plays." - EM, Principal Engineer, I8I

🤖 How are we using #AI for #RoboticPerception? Mainly with #bricks 🧱: to let our Baubot #robot know which ones to grasp — making the work of construction professionals safer and more efficient. Our colleague Sai Srinivas Jeevanandam, a deep learning and computer vision research engineer at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), explains how ZebraPose, the algorithm we've developed to take over this task, works: "By giving it a simple image, it estimates the pose of an object in 3D space." Learn more! 👇 #HumanTechTechnologies #HumanTechHackathon #ConstructionInnovation

🚀 New Video Alert! 🚀 In this episode, Jeff and Peter guide you through the process of building high-quality image datasets using Roboflow. Whether you're diving into computer vision projects or just starting out with AI, this tutorial is packed with essential tips to help you collect, annotate, and manage your image data efficiently. https://lnkd.in/gwmbR3-B

👁️ Ever wondered how AI "sees" the world? Spoiler: It's not through rose-tinted glasses but with pixels & patterns! 🌐 Dive into the magic of ComputerVision & OpenCV in our latest blog. 🔗 https://lnkd.in/gzsMJurb #ArtificialIntelligence #TechTrends #ComputerVision #OpenCV

OpenAI just released reinforcement fine-tuning for o1 models. This isn't your standard fine-tuning - it teaches reasoning processes instead of text patterns. Two groups will find this valuable: 1. Enterprises automating complex decision workflows 2. Developers tackling previously impossible tasks The real innovation? The model learns from partially correct answers, not just right/wrong outcomes. While most won't use this directly, teaching AI reasoning instead of pattern matching is a major step forward. This comes alongside other major AI releases: - New Gemini Experimental model leading benchmarks - Llama 3.3 running at 275 tokens/second on Groq - Geospy's precise photo location model - Advances in 3D generation - Runway Act 1's video performance mapping - New robots like Clone Alpha and Torso 2 - New SotA on ARC AGI Challenge 34% -> 55% - Grok available for free on X now - 1.3 Second Latency for Video Generation - New character replacement model Viggle 3 All of that was just yesterday. And people say AI is slowing down. smh #AI #OpenAI #TechNews #MachineLearning

🚀 Excited to Share My Recent AI Projects! 🚀 I’ve been working on some interesting projects using OpenCV and Mediapipe for computer vision: 🎯 Hand Tracking: Developed a system that detects and tracks hand movements in real-time, enhancing my skills in pose estimation and gesture recognition. 🎛️ Gesture Volume Control: Created a gesture-based volume control system where users can adjust the volume with simple hand movements. Both projects have deepened my understanding of how AI can create intuitive, real-world applications. I’m excited for what’s next! #AI #MachineLearning #ComputerVision #OpenCV #Mediapipe #TechProjects

On October 23rd I'll be doing a workshop on Object Detection & Computer Vision Pipelines using PyTorch, Hugging Face, Union.ai, and Label Studio(by HumanSignal)! 🤖 ✅ RSVP here: https://lnkd.in/gTc4XnyU I'll talk about: - Data Annotation for Object Detection - Computer Vision Models & Use cases - Reliable & Reproducible ML pipelines - Hands-on Building an AI pipeline It will be a lot to cover in our short amount of time but you'll be have the knowledge of how to not only train your own custom object detection model, but also how to build a efficient and reliable production grade AI pipeline! #computervision

This evening, I earned my "Use AI to recognize objects in images by using the Custom Vision service" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own Microsoft Learn journey! Seen this one pop up, and thought perfect, Im actually working on Opal AI right now and thought, lets do this as well, its pretty much the foundation of Opal AI anyway! Worth doing if you are interested in Computer Vision! #MicrosoftLearn #ComputerVision #AzureAI #NeverStopLearning

📊 My 2024 LinkedIn Stats, by cleve.ai : 2024 was my deep dive into computer vision and AI - from real-time traffic monitoring to face detection systems that actually work. The journey from theory to practical implementation taught me something crucial: the most impactful computer vision applications aren't just about sophisticated algorithms - they're about solving real problems. Technical milestones : • YOLO, OpenCV, and ML frameworks • Real-time image/video processing and analysis • ML models integration Shoutout to Muhammad Rizwan Munawar who was a great inspiration trought its posts related to computer vision stuffs. #computerVision #AI #MachineLearning #LinkedStats #2024wrapped #cleveAI

Hi everyone on LinkedIn!...👋 💥 Happy to report that I've finished a project on the Robo Platform that involved object identification using YOLO v8! 🖥️🤖 🔎Learning so much about computer vision and object identification with this project has been an amazing experience. Although there were some obstacles along my path, the trip has been incredibly fulfilling. 🙌 I would especially like to thank Satish Sir for helping me do this work. I'm excited to use these abilities in next projects and continue studying about artificial intelligence and machine learning! #AIMERS #AIMERSSOCIETY #Objectdetection #YOLOv8 #Roboflowplatform #AI