GitHub / IIsameerII / Wildfire-Classification-Using-Satellite-Images
By utilizing advanced classification models and a rich dataset, we aim to provide early detection and crucial insights for stakeholders, including authorities, environmentalists, communities, and individuals. Through a user-friendly interface, our project empowers users to explore, understand, and actively address the pressing issue of wildfires.
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PURL: pkg:github/IIsameerII/Wildfire-Classification-Using-Satellite-Images
Stars: 2
Forks: 0
Open issues: 1
License: mit
Language: Jupyter Notebook
Size: 18.8 MB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: over 1 year ago
Topics: classification, computer-vision, deep-neural-networks, efficientnet, neural-network, python3, pytorch, satellite-data, satellite-imagery, satellite-images, streamlit, torch, torchvision, wildfire