🌮 Trash Annotations in Context Dataset Toolkit
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Updated
Jun 16, 2024 - Jupyter Notebook
🌮 Trash Annotations in Context Dataset Toolkit
AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)
pLitter is a standardized, deep learning friendly dataset and pre-trained model that can be used for detecting plastic litter in streets , road-sides, etc. Additionally, all supplementary codes related to this repository are also published here.
A spatially explicit trait- and individual-based microbial systems modelling framework
Source Code for TrashMob.eco
A project that explores the relationship between deprivation and litter in Glasgow City. 🚯
The project focuses on finding & realizing effective IT techniques to detect and reduce litter.
Clean Up Cork City is a community-driven app that will allow people to create a map of litter dumps around Cork City. People can register on the website and add details about a location that is polluted with litter. Events are organised for the volunteers who will come to one of the locations and clean up the litter.
Urban litter, such as cans, packaging, and cigarettes, has significant impacts and yet little is known about its spatio-temporal distribution, with little available data. In contexts of data scarcity, crowdsourcing provides a low-cost approach to collecting a large amount of geo-referenced data. We consider 1.7 million litter observations in the…
♻️ Data preparation, image classification and segmentation of images of trash.
An analysis of beach litter inventories conducted on Lake Geneva 2015-2018.
Repo for hammerdirt California's(hdC) Cordova Creek 2(cc_2) project.
Selection of Adjusted Litter Scene Annotations (SALSA) dataset toolkit
An open data model for exchange and storage of beach debris data
🚛 TrAsh DAtaset based on Korea Ministry of Environment guidelines
Add a description, image, and links to the litter topic page so that developers can more easily learn about it.
To associate your repository with the litter topic, visit your repo's landing page and select "manage topics."