Dominik Pich’s Post

The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task. | Click below to read the full article on Sunalei

😱Inconvenient (ground) truth..What if our machine learning algorithms are learning from datasets that have 'noise' in annotations, or even 'errors' ? #perceptionsensors #datasets #intelligentvehicles #machinelearning #DNN 🚘 Have a look into our latest paper and the different criteria we have proposed for labelling: http://bit.ly/3AMhf3v Special tanks to Dr Gabriele Baris, former member of the #ivsensors group, and to all the co-authors 🤩

Creating and verifying stable AI-controlled systems in a rigorous and flexible way

Hello Connections... Successfully Completed the Object Detection Project Using YOLO v8 Model! I am thrilled to share that I have successfully completed my first project in object detection using the YOLO v8 model on Google Colab! Under the excellent guidance of my mentor Sai Satish Sir from AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society developed a model that detects the birds. Key Highlights: ->Utilized YOLO v8 model for object detection ->Implemented the project on Google Colab ->Successfully detected people who had a mask #ObjectDetection #YOLOv8 #AI #ComputerVision #MachineLearning #DeepLearning #GoogleColab #TrafficVideo #AimerSociety #LearningJourney #AIMERS #AIMERSOCIETY #APSCHE

Unlock the future of 𝐋𝐢𝐜𝐞𝐧𝐬𝐞 𝐏𝐥𝐚𝐭𝐞 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 with 𝐕𝐞𝐡𝐢𝐜𝐥𝐞𝐆𝐏𝐓! Powered by cutting-edge Vision-Language Models, it delivers unmatched accuracy in the toughest conditions, from blurred images to complex orientations. Experience precision and efficiency like never before—𝐕𝐞𝐡𝐢𝐜𝐥𝐞𝐆𝐏𝐓, redefining smart license plate recognition.

Hello Connections... Successfully Completed the Object Detection Project Using YOLO v8 Model! I am thrilled to share that I have successfully completed my first project in object detection using the YOLO v8 model on Google Colab! Under the excellent guidance of my mentor #SaiSatish Sir from #AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society developed a model that detects the vehicles Key Highlights: ->Utilized YOLO v8 model for object detection ->Implemented the project on Google Colab #ObjectDetection  #YOLOv8 #AI #ComputerVision #MachineLearning  #DeepLearning  #GoogleColab  #TrafficVideo  #AimerSociety #LearningJourney #AIMERS #AIMERSOCIETY #APSCHE

Hello Connections... Successfully Completed the Object Detection Project Using YOLO v8 Model! I am thrilled to share that I have successfully completed my first project in object detection using the YOLO v8 model on Google Colab! Under the excellent guidance of my mentor Sai Satish Sir from AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society developed a model that detects the birds. Key Highlights: ->Utilized YOLO v8 model for object detection ->Implemented the project on Google Colab ->Successfully detected birds #ObjectDetection #YOLOv8 #AI #ComputerVision #MachineLearning #DeepLearning #GoogleColab #TrafficVideo #AimerSociety #LearningJourney #AIMERS #AIMERSOCIETY #APSCHE

SeaBird AI: Leading in Object Detection SeaBird, showcased at CVPR 2024, enhances monocular 3D detection of large objects by incorporating segmentation in bird's view and employing dice loss. Built on PyTorch, this AI model tackles depth perception and noise sensitivity issues, achieving state-of-the-art performance in KITTI-360 and nuScenes benchmarks. It represents a pioneering method for improving detection accuracy and robustness in autonomous driving applications. #SeaBird #CVPR2024 #Monocular3DDetection #Segmentation #BirdsView #DiceLoss #PyTorch #DepthPerception #NoiseSensitivity #AutonomousDriving #AI #DetectionAccuracy #Robustness #KITTI360 #NuScenes

🚛 Exciting Progress in Vehicle Detection and License Plate Recognition! 🚛 I recently completed a project combining the power of #YOLO and EasyOCR for real-time vehicle classification and license plate recognition. Using #YOLOv8 for vehicle detection and localization, I achieved accurate bounding boxes around vehicles, while EasyOCR enabled seamless extraction of text from license plates, even in dynamic traffic scenarios. This project showcases the potential of advanced computer vision and OCR techniques in intelligent transportation systems. The ultimate goal is to enhance efficiency and accuracy in automated vehicle monitoring, which can support applications in highway management, law enforcement, and beyond. 🚗📈 Grateful for the learning experience and looking forward to taking this project further! If you're working on similar AI-driven projects or exploring applications in computer vision, I'd love to connect and discuss our insights! #ComputerVision #YOLO #EasyOCR #MachineLearning #AI #DeepLearning #IntelligentTransport #DataScience #VehicleDetection #LicensePlateRecognition #ArtificialIntelligence #OpenCV #Python #TechInnovation #LinkedInCommunity #TechForGood