Python - Machine Learning - Project Launch / Image Processing
There is an already existing project at the Piton’s GitHub.
Link: https://github.com/3springs/satellite_leak_detection
In short, with the help of the project you can find the leaks of water, oil, etc. using satellite images using machine learning.
1) you need to launch it and play the results with the dataset that is on the githab, make screenshots
2) use another image and play the results for it - make screenshots.
Images attached
Success criteria - the project is successfully launched, the results in both cases are obtained, screenshots are attached
Client's review of cooperation with freelancer
Python - Machine Learning - Project Launch / Image ProcessingI highly recommend cooperation with Katarina! He a lot with the machine learning project. Despite the complexity of the project and the initial problems in it, it dealt with the emerging problems and made its best to get to the essence of the problems and implement the project. She was constantly aware of the implementation of the task, which was valuable and wrote discussed comments on the performance of the work. I am very grateful to Ekaterina for taking the project and making the most of it, despite the fact that initially the project itself was misworked and made with faults and errors.
Freelancer's review of cooperation with Sofiya Kolosova
Python - Machine Learning - Project Launch / Image ProcessingIt’s not a simple task from the machine learning section. This project is out of line - "there everything works, you just need to fix it" 🙂. It turned out that there everything is very specifically stuck under the data from a particular satellite plus additional data on the data of the water pipes from Australian companies, plus not everything works. In addition, it turned out that the model wanted to be used completely for other purposes. In general, I was interested in working on the project, unfortunately the result was not exactly what they were expecting. Working with Sofia was very comfortable. You can immediately see that the person is interested in the result. I strongly recommend the work!
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