trash-classification
There are 16 repositories under trash-classification topic.
nikhilvenkatkumsetty/TrashBox
Dataset of trash objects for waste classification and detection
sangminwoo/RecycleNet
Attentional Learning of Trash Classification
GaengSu/TrashDetector
automatic trash separator using yolo, mtcnn
karanwxliaa/Underwater-Trash-Detection
Underwater Trash Detection
vladalexey/webapp-trash-classification
CNN Image classification of trash of 6 categories in tensorflow and pytorch
abhinav153/Trash_classifier
Classification of trash images using Convolutional Neural nets
alansun17904/smart-trash
Sorts recycling and trash using computer vision
sandeep1077/Trash-Classifier-in-Python-using-Tensorflow
In this project, we have tried to classify garbage under the same categories as provided by the Waste Regulations 2011.
Patipol-BKK/alphatrash-dataset
Self-collected trash dataset used in AlphaTrash project. Contains 5600+ images of trash gathered in Thailand, sorted into general, metal, organic, paper, and plastic wastes.
Stalker-moment/detection-organic-inorganic
On prototype, Modeling trash with CNN method
farhanlamiran/TrashDetectionClasification-with-CNN
Klasifikasi gambar sampah dengan menggunakan Convolutional Neural Network
NormanTrinh/APLASTIC-Q-rework
Aquatic plastic litter detection, classification and quantification
Patipol-BKK/alphatrash
Code for Automatic Trash Classification using Convolutional Neural Network Machine Learning paper, published in 2019 IEEE Conference on Cybernetics and Intelligent Systems.
Trash-ML-JXASTIC/web-backend
Web backend of machine learning trash classification system
figomahawangsa/CNN-Waste-Sort-Group-Research
A group research project about AI Image Classification for Trash Sorting for the Research Methodology in Computer Science subject conducted by students at Bina Nusantara University
swapnil233/trash-classification
Classifying images of trash (glass, metal, paper, plastic) using neural networks. Term project of 'APS360 - Applied Fundamentals of Deep Learning' taken at the University of Toronto. Team members: Matthew Vernooy, Danny Kung, Tiffany Costas.