A list of useful resources in the trash classification and detection (mainly plastic), such as datasets, papers, links to open source projects
Create plastic trash aerial image dataset - HAIDA
Civic Issue Detection Dataset from Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
Garbage/trash detection in images using YOLOv10 finetuned model, web application is developed in StreamLit.
Welcome to the repository of our garbage classification project! We have developed a model using PyTorch and EfficientNet-B4 that classifies garbage into twelve different types. The model has achieved an impressive accuracy of 98.45%.
AI to combat environmental pollution
A comprehensive AI-powered garbage detection system featuring YOLOv8 object detection, RESTful API backend, and cross-platform mobile application for real-time waste identification and disposal guidance.
🤖 GCBOT — Gamified Cleaning Bot. An AI-powered trash-collecting robot with YOLOv10 waste detection, real-time MJPEG streaming, web-based control panel, and a load-cell scoring system built on Raspberry Pi + Arduino.
Garbage Automation Detection
轻量级道路灾害巡查：识别横向/纵向裂缝、坑洞、垃圾（类别可扩展），支持人工与模型辅助标注 — 架构设计文档集（M0）：数据模型、OpenAPI 契约、训练门禁与边缘离线推理方案
A Computer Vision project for Clean India, Green India.
This project focuses on detecting and reporting garbage using cameras. Notifications are sent to the municipality's web portal and workers are alerted to collect the garbage in real time. The project also includes a garbage analysis dashboard that provides valuable insights into the quantities of garbage collected from various locations.
High-accuracy binary image classification system powered by PyTorch MobileNetV3 Transfer Learning to detect Clean Environments vs. Litter / Garbage Accumulation
CV system to track and count different classes of garbage.
AI-powered garbage detection system for identifying and classifying waste objects from images and video using computer vision and deep learning. Designed for smart waste monitoring, automated cleanliness inspection, and intelligent waste-management applications.
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