You will get AI Flood Datasets: Deucalion & Pyrrha v1.0-anonymized. Academic license.


Project details
You will get Deucalion and Pyrrha datasets as described at: Arapostathis, S. G. (2025). Introducing Deucalion and Pyrrha v1.0: Image Datasets for Disaster Management of Floods. Journal of Applied Engineering Education. OPast publishers. Vol 2(1):1-12. Dallas, USA.
Machine Learning Tools
Python, Python Scikit-Learn, R, scikit-learn, TensorFlowWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 3 days
- Number of Revisions 0
- Number of Model Variations 0
- Number of Scenarios 0
- Number of Graphs/Charts 0
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Fast 2 Days Delivery
+$70
Source Code
(+ 1 Day)
+$30Frequently asked questions
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EL
Etienne L.
May 20, 2024
research assistant
MO
Mark O.
Jul 5, 2023
Excel & QGIS assistance for data curation
PS
Phil S.
Feb 25, 2023
QGIS Map Template for Qfield
Would use Efstathios againg, thanks for help
JC
Joan C.
Nov 14, 2021
Geographic dataset for Andean countries
Stathis is a great professional. He has helped us a lot in this project and has followed all the requests we have made to him with precision. He always makes contributions to enrich the work and strives to meet delivery deadlines. We will be delighted to work again with him in the future.
DM
Diab M.
Apr 18, 2021
Report on satellite GSAT-15
Efstathios did a great job finishing the job, was on time, and his skills were reasonably strong. He understood the job very fast. I enjoyed working with him and will likely have additional jobs for him in the future.
About Efstathios
GIS/Data analysis, mapping.
100%
Job Success
Athens, Greece - 2:42 pm local time
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Steps for completing your project
After purchasing the project, send requirements so Efstathios can start the project.
Delivery time starts when Efstathios receives requirements from you.
Efstathios works on your project following the steps below.
Revisions may occur after the delivery date.
Order Deucalion and Pyrrha v1.0-anonymized.
Order the dataset and provide additional information if necessary e.g. YOLO friendly etc. Remember that the dataset will be anonymized.
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Get confirmation in the event of additional requests, that will be delivered.