DeepPlastic: An Open Source Image Dataset for Epipelagic Marine Plastic Detection

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:

• Paper: [Coming Soon]
• YouTube video of Results: https://youtu.be/8zBdFxaK4Os

• Object Detection Model

• Four models: YOLOv4, YOLOv5, MobileSSD, Faster RCNN Inception V2
• 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 permission 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.
• Deep Sea images are from JAMSTEK JEDI dataset: http://www.godac.jamstec.go.jp/