AI to Combat Environmental Pollution - detecting plastic waste in the environment to combat environmental pollution and promote circular economy (Deep Learning, PyTorch)

UAVVaste: COCO-like dataset and effective waste detection in aerial images

A list of useful resources in the trash classification and detection (mainly plastic), such as datasets, papers, links to open source projects

This repostory contains a deep learning-based system to detect and classify waste according to which container it should be thrown into.

Waste Detection and Change Analysis based on Multispectral Satellite Imagery

The Raven Scan platform harnesses advanced drone and satellite imagery to revolutionize waste management and environmental monitoring. By integrating high-resolution imagery with image annotation, AI-powered object detection, geospatial analysis, we delivers powerful tools for identifying dump sites and optimizing the management of legal landfills

This project focuses on environmental monitoring of two major rivers in Kathmandu, Nepal — Bagmati and Bishnumati. Using drone-captured aerial imagery, we have constructed a dataset aimed at detecting and segmenting river waste

Multi-cloud FinOps & Security CLI for AWS, GCP, and Azure. Identify cost waste, detect security vulnerabilities, and discover optimization opportunities across your cloud infrastructure.

This is an AI-powered waste classification application that uses computer vision to detect and categorize different types of waste materials.

Python code for Neuromatch Academy's Summer 2022 Deep Learning course project: Waste detection using Mask R-CNN on TACO dataset.

This is an AI-powered waste classification application that uses computer vision to detect and categorize different types of waste materials.

A personal project which aimed to build a disposable face mask type waste detector 😷 found in the environment (streets, forests, beach etc)

This project focuses on environmental monitoring of two major rivers in Kathmandu, Nepal — Bagmati and Bishnumati. Using drone-captured aerial imagery, we have constructed a dataset aimed at detecting and segmenting river waste.

A deep learning project implementing YOLOv8 for multi-class waste detection and classification using the TACO dataset.

Deep Learning project for waste object detection and segmentation using YOLOv8 and U-Net on the TACO dataset. Implements object detection with YOLOv8 for bounding boxes and custom U-Net for pixel-wise segmentation. Includes EDA, data augmentation pipeline, and comparative analysis. Built with PyTorch for CS4045 course project.

Waste detection system using YOLOv5 for real-time object detection and classification of waste types.

🌱 A smart waste detection app that classifies trash types (plastic, metal, glass, paper) using a machine learning model. Built with React, Express, and Flask. The frontend 👇