Deep Learning for Instance Segmentation of Agricultural Fields (QGIS)

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Instance Segmentation Programming. I'm really confident about your project, and very eager to join your project. If we have a chance to cooperate, I'll do my best to provide wonderful result. Looking forward to your response. Best Regards.

Hello! I graduated from AGH (Poland) and IFNTUOG (Ukraine). I have master degree in GIS and Cartography. I can help you. Best Regards Michael

4+ years of professional experience as GIS Developer. Worked on Python, QGIis, ArcGIS JS api, ArcGIS Pro and geo spatial databases. Contact me with more details. Thanks

I am applying for the QGIS Plugin Development opportunity. I am a graduate of Salisbury and Moi Universities with a Master’s degree in Geographic Information Management and Bachelor’s degree in Geography respectively. My vast skills and experience of over 8 years in GIS, Remote Sensing and Mobile GIS ensure that I am an individual who know how to accomplish tasks personally and, in a team dynamic. In my prior jobs, I worked in capacity of Geospatial Consultant, Geospatial Training Consultant, GIS Analyst and GIS and Remote Sensing Instructor, which required that I complete different tasks. I have skills and experience in working and training with Geographic Information Systems (GIS) and Remote Sensing software both Commercial and open source including but not limited to ArcGIS suite, Q-GIS, ENVI, Erdas Imagine, AutoCAD, ArchiCAD, Global Mapper etc Previously, I have worked on several projects involving Q-GIS tools customizations based on clients requirements and specifications. Latest been the modification of the "Semi Automatic Classification" QGIS plugin tool for the latest QGIS 3.6 desktop version. On this project, I will use the Qt development tool for the integration of the shared plugin and adding additional scripts for the output of data. I would appreciate the opportunity to discuss my suggested methodology for the project with you. Thank you for your consideration

My preferred method of freelancing is an interactive approach to project solving. I have an MSEE specializing in Digital Signal/Image/RF Processing. I do my work in MATLAB (expert). I also do Python programming.

Hi, I'm a experimented Data Scientist, I have worked previously with a problem similar to yours ... Please contact me through the chat to discuss more detailed about your project. I will be happy to work together. Tambien hablo español si lo ves mas conveniente, espero me contactes pronto. Saludos.

I am a Computer Vision Researcher with 5+ years of Experience in the Industry during which I have worked at Companies like Amazon.I have Worked on a Similar Project before Where I had to generate A Segmentation Mask for 256 Crop Categories on Images Taken from LandSat8 for an Organization Known as Earth Society Informatics Partners and can easily help you with it

I DO NOT OUTSOURCE I have been a freelancer for the past 8 years, I believe that my experience and skill in this background will prove to be of great help to you. Contact me to discuss more on the details

Hello! My name is Alyona. I am representative of a company, which can successfully execute different projects in IT sphere, connected with machine learning, deep learning, artificial intelligence, neural networks, robotics. Our staff members have solid skills to work with variety of projects, which gives us an edge while working on any project by providing a more holistic view. If it can be interesting for you, please, give feedback. Any questions? Feel free to ask! I will also send applicants` CVs, if necessarily. Thanks in advance. I am looking forward to your response.

My name is Natalie. I represent a team of talented and experienced machine learning engineers, data scientists and computer vision specialists. All of them have solid skills to work with variety of projects. We can help you with your project. Could you please share a detailed description of the project? Thank you.