Flood-Detection---Satellite-Images and Satellite-Flood-Detection-UNet
These are **competitors** — both implement deep learning models for flood detection from satellite imagery, with A using unspecified architectures while B specifically employs UNet with PyTorch, offering overlapping functionality with no technical integration points.
Maintenance
0/25
Adoption
8/25
Maturity
16/25
Community
19/25
Maintenance
6/25
Adoption
3/25
Maturity
1/25
Community
12/25
Stars: 45
Forks: 17
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 3
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m
No Package
No Dependents
No License
No Package
No Dependents
About Flood-Detection---Satellite-Images
KonstantinosF/Flood-Detection---Satellite-Images
This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images
About Satellite-Flood-Detection-UNet
anadya-s/Satellite-Flood-Detection-UNet
Deep Learning model to detect floodwater in satellite imagery using PyTorch & Streamlit.
Scores updated daily from GitHub, PyPI, and npm data. How scores work