Uday Bhaskar Bali’s Post

Advancing the Field of Computer Vision: ObjectDetection with YOLOv8 Hello LinkedIn community, I'm excited to share my latest project on object detection using YOLOv8. This project enabled me to achieve real-time detection with outstanding precision. I trained it with a custom dataset and tested it on a video containing trucks, cars, and other objects to evaluate its detection performance based on the training set! #Allnnovators #YOLOv8 #ComputerVision #MachineLearning #AIMERS AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society

Object Detection using YOLOv8. AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society. #dragonfruit detection Why choose YOLOv8? This model excels at pinpointing and classifying objects within images in real-time. Unlike older methods, YOLOv8 is a single-stage system, analyzing the entire image at once for efficiency. It excels in both speed and accuracy, making it suitable for various applications like self-driving cars and security systems. #objectdetection #ML #Al

☁ One of the most challenging situations for drivers and also for #assistedandautomateddriving functions is darkness..To improve perception algorithms/AI performance in the darkness, the #IVSensors group is proposing #Darwick, a paired dataset with dark/illuminated paired frames to be presented at IEEE ITSC, the flagship conference of the IEEE ITS Society. Don't miss it 🤩 Fantastic work by: Zixiang Wei Yunruo Jiang Pak Hung Chan Jocelyn Wang Yuri Poledna ROADVIEW_EU Have a look at the paper here: https://lnkd.in/ezr-xDFz and contact us if you would like to know more 💡

This paper proposes a #gnn to learn a #mapping between #channel #and #precoding #matrices, which maximizes the #sum #rate affected by #non-#linear #distortion, using a #high-#order #polynomial #PA #model. In the #distortion-#limited #regime, this gnn-based #precoder #outperforms zf, zf plus dpd and the dab precoder from the state-of-the-art. At an input back-off of -3the proposed precoder compared to zf increases the sum rate by 8.60 and 8.84 bits/channel use for two and four users respectively. #Radiation #patterns show that these gains are achieved by transmitting the non-linear distortion in non-user directions. ----Thomas Feys, Liesbet Van der Perre, François Rottenberg More details can be found at this link: https://lnkd.in/dyn-MASH

Check out our new paper in IEEE Transactions on Cognitive Communications and Networking!

Benefits of TensorRT Export using Ultralytics YOLOv8 😍 😍 😍 🔥 I dedicated time to exploring deepstream usage last year, and I found it particularly intriguing in the context of YOLOv5. This year, I plan to experiment with YOLOv8, and I will continue to share the outcomes with the community :) What's Included 😍 ✅ Key Features of TensorRT Models ✅ Deployment Options in TensorRT ✅ Exporting YOLOv8 Models to TensorRT ✅ Deploying Exported YOLOv8 TensorRT Models Learn More ➡ https://lnkd.in/d-cq9RSE Kudos to Abirami Vina for crafting this content in such a straightforward manner :) #computervision #objectdetection #nvidia #nvidiajetson #yolov8

Reduce your claims and repair cycle times by generating detailed estimates in minutes with just photos of the vehicle damage. Harnessing swift image processing technology combined with deep-learning algorithms, Qapter identifies damage components to determine total loss vs. repairable, suggesting the optimal repair methods. Learn more: https://bit.ly/3bdbPBu #VehicleClaims #RepairEstimate #QapterEstimating #IntelligentTriage

Reduce your claims and repair cycle times by generating detailed estimates in minutes with just photos of the vehicle damage. Harnessing swift image processing technology combined with deep-learning algorithms, Qapter identifies damage components to determine total loss vs. repairable, suggesting the optimal repair methods. Learn more: https://bit.ly/3bdbPBu #VehicleClaims #RepairEstimate #QapterEstimating #IntelligentTriage

Object detection using Roboflow . AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society . #AIMERS #Roboflow #objectdetection

Object detection using YOLO (You Only Look Once) involves a series of steps to train and deploy a model capable of detecting and localizing objects in images or videos in real-time. Below is a comprehensive guide on how to perform object detection using YOLO. AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society #artificialintelligence