YOLO UNet Training for Road Extraction

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python and etc. I have PhD from Tohoku University and have several journal publications on the subjects. You can see portfolio for my previous projects. I read about your project and am interested in working with you. Please send me a message so that we can discuss more. Best regards.

Hello Sir, I hope you are doing well. I will be able to help you with your project. I read through the description and it sounds like I am just the right person for it. I have the right skill set with sophisticated experience in Python, Software Development,SQL, MERN stack, Django, Flask, Machine Learning (ML) and deep learning in both Tensorflow and Pytorch, NLP, Object Detection, OpenCV,Reinforcement Learning, TIME SERIES FORECASTING. Project List Object Detection algorithms(MASK RCNN , Faster RCNN. SSD, YOLO all variants) used for various projects created 3d maskRcnn for CT scan data for lung nodule customized yolo for wheat grain defect detection more than 300+ grains in single image traffic count along with all direction, Included four way as well segformer for sattelite data segmentation. yolo based card game site website analyzer working with non rgb dataset, advance mask detection with saftey and privacy measures scene graoh generation based on yolo CNN project list. ODIR recognition(competative results) Leaf disease detection android app Medicle related projects lung cancer nodule as mentioned abobve edema detection(paper implementation) oDIR recognition working with X_ray images other projects stable diffusion time series forecasting we have worked on lot of projects including all the above projects I am looking forward to working with you and if you have any further questions I would be happy to answer them. Best regards

Hi, Thanks for your posting. With over 15 years as a data scientist and image processing expert, I am well-equipped to handle your YOLO UNet training for road extraction. My expertise extends beyond Python, which is a non-negotiable requirement of this project, to include programming languages such as C/C++/C#, MATLAB/Mathematica, VB, Java and R, as well as an intimate knowledge of several operating systems. Throughout my career, I have successfully executed a range of image processing tasks including face detection & recognition, object detection & classification, motion & pose recognition and emotion & age & gender classifications. OCR capabilities within my repertoire span Captcha and car plate challenges while my proficiency in image segmentation also aligns with the desired goals of your project. With these skills in natural language processing and data analysis,driven by ML,

Respected Sir, I am interested in the Python programmer position for running code on road extraction datasets using YOLO and UNET. With expertise in Python, including various libraries and frameworks, I can handle the required code implementation. I have experience with YOLO and UNET in image processing, specifically in road extraction datasets. I manage code and datasets efficiently, using Git for version control. I prioritize quality assurance, ensuring smooth code execution and meeting project requirements. I am dedicated to delivering results on time, even under pressure. I am excited about this opportunity and confident in my ability to exceed your expectations. Sincerely, Shreyas Mavlae

I have previously worked on YOLOv6 and other image segmentation models like MaskRCNN and FasterRCNN. These were used to extract insect pests from images and correctly classify them.

Hi, I'm a machine learning engineer at medical AI startup. Here we work on medical images. We have various tools, I believe I can help you to create a best model which will satisfy the needs.

Hello I am working in a AI company in Canada and I am working on YOLO and YOLO-world and Python . I can do your project . But I want to get more information about your project. If you want to tell me more about your detail's project. thanks