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This Project will tackle problem of waste pollution by focusing on developing a model that uses images of trash from the epipelagic layer of the ocean to identifies the Ocean waste.

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AdityaSawant21/CleanSea-The-Deep-Learning-Model-for-Ocean-Waste-Detection

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Cleansea : The Deep Learning Model for Ocean Waste Detection

This Project will tackle problem of waste pollution by focusing on developing a model that uses images of trash from the epipelagic layer of the ocean to identifies the Ocean waste. Our System also detects the ocean waste hotspots in the ocean.

Solution:

  • We are working on a system which can detect many different types of trash in the ocean i.e. Plastic, Glass, Metal, Paper,Trash and Cardboard.
  • We are working on combined datasets from various sources in large amount for the proposed system.
  • Our System is cost effective as it only requires basic working Pc.

Task Accuracy :

  • Our system has 94% Training accuracy and 92% Testing accuracy.

Screenshots of the Output :

image image image image image

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

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This Project will tackle problem of waste pollution by focusing on developing a model that uses images of trash from the epipelagic layer of the ocean to identifies the Ocean waste.

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