16301116 / deepplastic

Detecting and Quantifying Marine Debris using Deep Visual Models.

Project Archive Notice

This project has been archived and is no longer actively maintained. This means that no further updates or bug fixes will be provided.

Please note that we will not be accepting any pull requests or requests for updating the code. However, you are free to fork this repository and continue development on your own.

Can I still use this code?

Yes, you are still free to use this code under the terms of the MIT License. However, please be aware that the code may contain bugs or security vulnerabilities, and we will not be providing any support or updates.

How do I get help?

If you have any questions about this project or need assistance with using the code, we recommend that you seek help from the community or other resources. However, please note that we will not be providing any support or assistance.

Thank you for your interest in this project.

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Deep Plastic

• Enhanced Object Detection for Epipelagic Plastic.
• This repository contains source code for the method developed in DeepPlastic: Identifying Marine Plastic In The Epipelagic Zone using Computer Vision and Deep Learning

Information:

• Preprint: https://arxiv.org/
• YouTube video of Results: https://youtu.be/8zBdFxaK4Os
• Data: Google Drive

Object Detection Model

• Two models: YOLOv4 and YOLOv5
• Small efficient and high precision models can be used for real-time object detection.
• Model architecture and implementation details: https://arxiv.org/
• Weights for YOLOv4 and YOLOv5 are provided in the model/
  • YOLOv4: best.weights; use best.weights
  • YOLOv5: best.pt; use best.pt

Google Colab Links

Note: Click on File and Save Copy in Drive. If you try to edit my file it'll ask you for permissions and send me an email. Please make your own copy.

• YOLOv5: https://colab.research.google.com/drive/1_qzbpBWkNfxQ0ny-DvsKicCeM0aFU4eW?usp=sharing

DeepTrash DataSet

• 1900 training images, 637 test images, 637 validation images (60, 20, 20 split)
• Field images taken from Lake Tahoe, San Francisco Bay and Bodega Bay in CA.
• Internet images (<20%) taken by scraping Google Images.
• Deep Sea images are from JAMSTEK JEDI dataset: http://www.godac.jamstec.go.jp/
• Complete DeepTrash dataset can be downloaded from: Google Drive

Results

Bibliography entry:

@misc{tata2021deepplastic,
  title={DeepPlastic: A Novel Approach to Detecting Epipelagic Bound Plastic Using Deep Visual Models}, 
  author={Gautam Tata and Sarah-Jeanne Royer and Olivier Poirion and Jay Lowe},
  year={2021},
  eprint={2105.01882},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

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