Wayve’s Post

Title: Revolutionize Image Processing with Grounded-Segment-Anything 🌟🖼️ Description: 🚀 Dive into the future of image processing with Grounded-Segment-Anything! This groundbreaking project merges the powers of Grounding DINO and Segment Anything, enabling automatic object detection and segmentation through text inputs. Witness the magic as images come to life, responding dynamically to your descriptions. From automating image annotation to revolutionizing dataset creation, the possibilities are endless! #GroundedSegmentAnything #ComputerVision #AIInnovation #ImageProcessing #FutureTech #GroundedSegmentAnything #ComputerVision #AIInnovation #ImageProcessing #FutureTech #AutomatedSegmentation #ObjectDetection #TextToImage #MachineLearning #DeepLearning

🔍 Understanding YOLO Object Detection 🔍 YOLO (You Only Look Once) is a state-of-the-art object detection system that revolutionizes how we identify and classify objects within an image or video. Unlike traditional methods that repurpose classifiers to perform detection, YOLO frames object detection as a single regression problem, straight from image pixels to bounding box coordinates and class probabilities. YOLO is incredibly fast, making it ideal for real-time applications. #YOLO #ObjectDetection #DeepLearning #ComputerVision #MachineLearning #ArtificialIntelligence #TechInnovation #RealTimeProcessing #ImageRecognition #DataScience #AutonomousVehicles #SecurityTechnology #MedicalImaging #Innovation

Excited to share our latest blog post on "ZeroShape: Regression-based Zero-shot Shape Reconstruction"! We delve into the efficiency of regression-based methods for 3D shape reconstruction and present our new model, ZeroShape. Our model outperforms state-of-the-art methods and demonstrates higher computational and data efficiency. Check out the full details at https://bit.ly/48xgPZK.

New tutorial on the Ultralytics OpenImagesV7 pre-trained models 🔥🔥 In this video, Nicolai Nielsen will provide a walkthrough of OpenImagesV7 pre-trained models, a robust dataset supported by Google. It aims to propel computer vision research forward. It contains diverse annotated images with image labels, object bounding boxes, segmentation masks, visual relationships, and localized narratives. Key highlights 😍 ✅ OpenImagesV7 & COCO models results comparison ✅ Understanding the class structure of the OpenImagesV7 dataset ✅ Key features of the OpenImagesV7 dataset Watch now ➡️ https://lnkd.in/ddRb9x_D #computervision #segmentation #openimages #yolov8 #objectdetection

New Open Vocabulary YOLO-World model has been released🚀!! 💯 YOLO-World is a zero-shot object detector that can be used for various situations and different features along images. 🔥 It is very fast in compare with other zero-shot detectors like GroundingDINO. 📖 Custom classes can be defined by the user and then exported. In this way the model will keep the selected classes for next time to predict. Thanks to Ultralytics framework we can easily run YOLO-World without any difficult installation process. #deeplearning #deeplearningai #machinelearning #yolov8 #yolo #opencv #computervision

# Exploring Object Detection with Super Gradients! Just wanted to share my exciting journey into the world of object detection using Super Gradients. I have been experimenting with different models, different confidence and different weights and the results are nothing short of amazing. # Models:- YOLO-NAS, YOLOX , YOLO-NAS-Pose # Imagenet:- "coco_pose" # Pre-trained weights:- "coco" COCO stands for Common Objects in Context, and it is a large-scale object detection, segmentation, and captioning dataset. The COCO dataset is widely used for benchmarking and evaluating the performance of computer vision models, including those designed for object detection tasks like YOLO. #YOLO_NAS #ImageDetection #YOLO_NAS_POSE #SOTA #coco  #computervision #Super_gradients

A good read on Sora if you haven’t already read the research article… “Our results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world” Seems to me there are three game changing layers to Sora and models like it. 1. The obvious low cost, mass video production for all manner of use cases, disrupting everyone from Drone Operators to Dolly Grips 2. What this paper suggest… Physical World Simulations with accurate real world physics. Disrupting everything from game development to digital twins, contruction and architecture. 3. The real kicker… Humanoid (and other) robots that understand and reason about the physics of thier surroundings just by looking at it. The obvious world changing use case of course being a robot that can play Giant Jenga at a camp ground in windy conditions on uneven grass, with kids running around all over the place and with grown ups who may have had a few drinks already before 11am… one of the most challenging and injury prone activities of a kiwi summer holiday… https://lnkd.in/duRTepWv

Pothole Detection using YOLO v8 model 🚀 📖YOLOv8 is the newest state-of-the-art YOLO model that can be used for object detection, image classification, and instance segmentation tasks. 💻YOLOv8 was developed by Ultralytics, who also created the influential and industry-defining YOLOv5 model. Used roboflow for manual annotation of the custom dataset

Unlocking hand gestures with precision: Leveraging OpenCV and MediaPipe for real-time hand detection and interaction 🤙 ........#WaitForEnd

Yolo by Ultralytics is accelerating the field of image recognition. Its potential is impressive, and its easy integration greatly facilitates speeding up Machine Learning projects, thus offering the possibility of generating early results and therefore conducting more tests to refine ML models. Yolo is a great ally that SMART &PRO highly values. #AI #KI #IA #ArtificialIntelligence #KünstlicheIntelligenz #InteligenciaArtificial #MachineLearning #DeepLearning #ML #ProjectManagement #Projektmanagement #GestionDeProyectos #AIManager #KIManager #IAManager #ProjectManager #Projektmanager #GestorDeProyectos