AI / Machine Learning to Find FLAT Roofs using satellite imagery
$15-25 USD (1시간 기준)
Build a program that can provide all the physical addresses and phone numbers for homes and buildings with FLAT TOP roofs within a specified geographic radius in the U.S.
This should be done using Satellite Imagery and other public data. The results should not include flat roofs with rock on them. And the results should not include metal roofs. The data SHOUD include flat roofs where only a PORTION of the roof is flat (and has no rock or metal).
프로젝트 ID: #24730423
프로젝트 소개
이 일자리에 대한 프리랜서 9 명의 평균 입찰가: $27 (1시간 기준)
Having 7 years of experience in AI and image processing I believe this will be a interesting project for me. I have worked on satellite images for few projects. I always try to give 100% to my clients and my reviews wi 기타
Hi there, I have read your project description and i'm confident i can do this project for you perfectly.I still have a few questions. please leave a message on my chat so we can discuss the budget and deadline of the 기타
Hello! I'd like to deliver flat roofs detection model. I'm familiar with Mask RCNN, Yolo architectures, deep learning and pytorch. I'll do the job blazingly fast. Please, give me a try!
Hi, My name is Milos specialized in Web/Python Dev. I am well versed in Python/ML/OpenCV/Image&Video Process/Google MAP API. So I can complete this task faultlessly. Also, Quality/Speed/Customer satisfaction is my dev 기타
Hello, we are Ukrainian company CrisperSoft, we passed your task to our Computer Vision department. Please, check these questions from our cv engineers: Do you have any samples of the images to better understand appro 기타
I am a data science professional with 10 years of experience in ML and AI. My major skills are computer vision, OpenCV, tensorflow, Facial recognition, Custom object detection using Transfer learning, Deep learning, Ma 기타