SohamGovande/treehacks-2023

Winner of Grand Prize in Sustainability & Meta Best Innovation Award. We mitigate overfishing through AI-augmented satellite imagery and data viz dashboard. Novel few-shot synthetic image data augmentation method using fine-tuned Stable Diffusion for any object.

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Experimental

This project helps governments and environmental organizations monitor and combat illegal overfishing. It takes satellite images of ocean areas and identifies fishing ships, especially those engaged in suspicious or illicit activities. The output is an interactive global map and dashboard that highlights overfishing hotspots and provides real-time insights for taking action. Marine conservationists, government agencies, and sustainability officers would find this tool valuable.

No commits in the last 6 months.

Use this if you need to detect fishing vessels from satellite imagery with high accuracy, especially in situations where there's limited existing data of ships on water.

Not ideal if your primary goal is general object detection across a wide range of common objects not related to satellite imagery or sustainability.

marine-conservation illegal-fishing satellite-monitoring environmental-intelligence geospatial-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 9 / 25

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28

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3

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Jupyter Notebook

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Last pushed

Feb 20, 2023

Commits (30d)

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