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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.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/IIsameerII%2FWildfire-Classification-Using-Satellite-Images

Stars: 2
Forks: 0
Open Issues: 1

License: mit
Language: Jupyter Notebook
Repo Size: 18.8 MB
Dependencies: pending

Created: 9 months ago
Updated: 7 months ago
Last pushed: 7 months ago
Last synced: 4 months ago

Topics: classification, computer-vision, deep-neural-networks, efficientnet, neural-network, python3, pytorch, satellite-data, satellite-imagery, satellite-images, streamlit, torch, torchvision, wildfire

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