Government College of Engineering Karad’s Post

-Enhanced my skills in Digital image processing course conducted by NPTL with a score of 58%.This course helped me to understand the fundamentals of image processing and it's applications. #DigitalImageProcessing #NPTL #ComputerVision #ImageProcessing #SkillDevelopment

Excited to share results from my latest project comparing various image denoising methods using the LIVE dataset. Our novel approach, Cut2Self-DDM, achieved state-of-the-art results with a PSNR of 31.16, outperforming 11 other established methods including CBM3D, MCWNNW, and BUIFD. Key highlights: -Developed and implemented a new image denoising technique -Conducted quantitative comparisons against multiple existing techniques -Achieved the highest PSNR score among all tested methods -Gained hands-on experience with computer vision and image processing #ImageProcessing #ComputerVision #MachineLearning

🚀 Thrilled to have completed the Digital Image Processing course from Great Learning Academy! 🎓 I learned about highlights the comprehensive journey through the course, which likely covered foundational concepts and advanced applications of image processing, image conversion, such as filtering, edge detection, and object recognition 🖼️📲 #ImageProcessing #DeepLearning #ObjectRecognition #LearningJourny #GreatLearningAcademy #CareerGrowth

📢 New #MOOC! Do you want to know more about current technologies and trends in image processing and their industrial application? Then our new course 'Introduction to Industrial Image Processing' starting on September 16th, 2024 might be just the right course for you! 📚 This is what you will learn in the course: • Basics of industrial image acquisition and processing • Overview over the components of machine vision systems • Algorithms for feature amplification and detection in images • Introduction to detection and classification of objects in images • Basics of photogrammetry for extracting 3D information from 2D images 🔗 If you are interested in our course, check the #Course About Page & don't forget to enroll here:

Certification complete! I've successfully finished the Computer Vision and Image Processing Specialization on MachineLearning.org.in. Excited to apply this knowledge and explore new possibilities in the field. #ComputerVision #ImageProcessing #MachineLearning

Hiii #LinkedInCommunity, Previously I have started an "Computer Vision Concepts". I hope you read it and clear your concepts . Today I have discussed on most primary tasks in Computer Vision that is "Object Detection" . Object Detection is an primary task for computer vision where we detects location of the objects in an image or video inputs. Object Detection tasks can be performed in common two ways : 1. Two Shots (Stage) Object Detection 2. One Shots (Stage) Object Detection In Two Stage Object Detection We detects objects in two passes — Stage 1 : Uses techniques like Region Proposal Networks (RPNs) to identify potential object locations in the image. Stage 2 : Refines the proposals by classifying the regions and adjusting their boundaries. R-CNN , Fast R-CNN , Faster R-CNN and Mask R-CNN are examples of Two Shots Detectors. Briefly Discussed in Docs 👈 Instead of One Shots Objects Detection We detects objects in only one stage (detects regions or Classifying regions proposal). It is really faster and outperforms in real time applications. SSD, YOLO and RetinaNet architectures are examples of One Shots Detector. We discussed in Next Docs ✅✅ Two-stage object detection is more accurate than one-stage object detection, but it's also slower because of the multiple inference steps per image. The choice between one-stage and two-stage object detection depends on the application's requirements and constraints. One-stage object detection is better for real-time applications, while two-stage object detection is better for applications where accuracy is more important. # Today's time object detection are used in every domains such as medical diagnostic detection , In Sports , Players Tracking and Monitoring , Traffic lights detection, roads vehicles detection and tracking etc. Computer Vision Engineers are most primary or common task is Object Detection. If you start an journey as #computervisionengineer , as your primary task is always Object Detection and after Classify What's ??? #objectdetection #classification #fast #cnn #ssd #yolo #computervision #deeplearning #journey #aideveloper #aicommunity #aienthusiast If you likes my #contents #repost #knowledge 👈 With your friends and students 📑🤝 Full #Documentation Link in #comments #box ✅

😃😃Excited to share that our paper "VOLUME CONTROL USING OPENCV" has been published in the Journal of Transactions in Systems Engineering! We developed a method to control computer volume using hand gestures, leveraging OpenCV for real-time hand detection and gesture recognition. This approach not only makes computing more interactive and accessible, especially for those with mobility impairments, but also showcases the potential of computer vision for enhancing user experiences. A big step forward in intuitive human-computer interaction! Check this link for full paper - https://lnkd.in/g6iqRtZd I would also like to thanks my teammates Amol Rakh , Vaishnavi Dherange ,Vivek Shelke , Siddhesh Londhe for their contribution #OpenCV #GestureControl #ComputerVision #HCI #Research#teamwork#JTSE

I'm thrilled to announce that I have recently earned a certificate in computer vision throughout this course, I delved into a wide range of essential topics, including image manipulation, annotation, enhancement and filtering. I also explored advanced techniques such as image feature extraction, object tracking, HDR and panorama creation, face detection , and pose estimation . I'm eager to apply these new competencies to future projects and contribute to innovative solutions in computer vision. #ComputerVision #OpenCV #ImageProcessing #ProfessionalDevelopment

I am glad to share that I have successfully completed my NPTEL Online Certification Course in Digital Image Processing. #NPTEL #DigitalimageProcessing

For me It has been a pleasure share with amazing smart people sharing for 1 year these 2 semesters and especially this second one in Universidad Autónoma de Madrid that from my point of view It was a challenge but not impossible, now we gonna advance to the third one . almost done this master program of Image Processing and Computer Vision #IA #IPCV #ImageProcessingAndComputerVision