datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
256x256-litter-sort-annotated-wastes
(256x256) Litter Sort Annotated Wastes
It delivers 14 268 pre-curated photographs of common waste, evenly split across six material classes: Plastic (2 387), Metal (2 421), Glass (2 398), Cardboard (2 352), Paper (2 403) and Trash (2 307). All images were resized to 256 × 256 px in RGB, duplicates removed and quality-filtered through an ensemble pipeline to ensure balance and clarity. Organized in class-named folders, the set is ready for immediate ingestion into… See the full description on the dataset page: https://huggingface.co/datasets/mnemoraorg/256x256-litter-sort-annotated-wastes.waste-classifier
Dataset Card for waste classifier
This dataset contains waste images in different categories:
cardboard
compost
glass
metal
paper
plastic
trash
Dataset Sources
Data is a combination of Trashnet dataset plus more images obtained by internet search.
Paper: Classification of Trash for Recyclability Status
Uses
The dataset can be used for waste classification or other type of project.
Direct Use
This dataset is used to build a waste classifier for… See the full description on the dataset page: https://huggingface.co/datasets/rootstrap-org/waste-classifier.512x384-litter-sort-annotated-wastes
(512x384) Litter Sort Annotated Wastes
It contains 2,527 annotated photographs of everyday waste, split into six material classes: Cardboard (403), Glass (501), Metal (410), Paper (594), Plastic (482) and miscellaneous Trash (137). Images were gathered from varied lighting conditions, backgrounds and device cameras to reflect realistic disposal scenes. Each file is placed in a folder named after its class, making the collection ready for direct ingestion into image-classification… See the full description on the dataset page: https://huggingface.co/datasets/mnemoraorg/512x384-litter-sort-annotated-wastes.food-waste-dataset
Food Waste Dataset
This dataset contains detailed information about food waste, including images and nutritional information.
Dataset Description
The dataset combines image data with detailed nutritional information for each meal and its ingredients.
Features
For each entry:
bonid: Unique identifier for each meal
image: Image of the meal
Lists per meal (multiple ingredients):
Artikelnummer: Article numbers
Artikel: Ingredient names
Stückartikel: Piece article… See the full description on the dataset page: https://huggingface.co/datasets/AI-ServicesBB/food-waste-dataset.waste-segregation-dataset
Waste Segregation Dataset
Descripción
Este dataset contiene imágenes de residuos clasificadas en 9 categorías para tareas de segregación
automática de desechos. Fue preparado como parte de un proyecto de aprendizaje automático en el
Instituto Tecnológico de Costa Rica (ITCR), con el objetivo de entrenar y evaluar modelos de
clasificación de imágenes basados en Vision Transformers (ViT).
Información del Dataset
Total de imágenes: ~4,765
División: 80%… See the full description on the dataset page: https://huggingface.co/datasets/ddompe/waste-segregation-dataset.WasteBench-Dataset
WasteBench: Evaluating Vision–Language Models on Waste Images
Muhammad Ali, Salman Khan
Dataset Overview
WasteBench is an evaluation-only benchmark dataset designed to test the performance of Vision–Language Models (VLMs) in cluttered waste management scenarios.It contains 952 images with captions generated using Google Gemini, and curated question–answer pairs for multi-task evaluation.
Key Features:
Categories: Rigid Plastic, Soft… See the full description on the dataset page: https://huggingface.co/datasets/aliman8/WasteBench-Dataset.waste-containers-garbage-filling-level-datasetWaste_Classification_datawaste-segregation
Waste Segregation Dataset
Descripción
Dataset de imágenes para clasificación automática de residuos en 9 categorías.
Creado para el Quiz 02 del curso de Aprendizaje Automático del ITCR.
Clases
El dataset contiene imágenes de las siguientes categorías de residuos:
Clase
Train
Validation
Test
Cardboard
~301
~75
95
Food Organics
~262
~66
83
Glass
~269
~67
85
Metal
~506
~126
158
Miscellaneous Trash
~317
~79
99
Paper
~320
~80
100
Plastic
~589… See the full description on the dataset page: https://huggingface.co/datasets/munozhj/waste-segregation.waste-segregation-vit
Waste Segregation Dataset (ViT Fine-tuning)
Descripción
Dataset de clasificación de residuos adaptado para el afinamiento de modelos Vision Transformer (ViT).
Contiene imágenes de diferentes categorías de desechos, divididas en conjuntos de entrenamiento,
validación y prueba siguiendo las convenciones de Hugging Face Datasets.
Fuente Original
Kaggle: Waste Segregation – smarthkaushal
Estructura
Split
Ejemplos
train
~70%
validation
~15%… See the full description on the dataset page: https://huggingface.co/datasets/Dagachaco/waste-segregation-vit.waste-segregation-9classes
Waste Segregation (9 classes)
Dataset de imágenes de residuos sólidos para clasificación en 9 categorías, preparado
para el Quiz 02 del curso de Aprendizaje Automático del Programa de Ciencia de Datos
del Instituto Tecnológico de Costa Rica (ITCR).
Fuente original
Re-empaquetado del dataset Waste Segregation publicado en Kaggle por smarthkaushal:
https://www.kaggle.com/datasets/smarthkaushal/waste-segregation
Todo el crédito por la recolección y curado original… See the full description on the dataset page: https://huggingface.co/datasets/jalvarezra/waste-segregation-9classes.waste-classification-sri-lanka
Intelligent Waste Classification Using Deep Learning for Improved Urban Waste Segregation in Sri Lanka
Research repository for deep learning-based waste classification and cross-geographic generalization analysis using TrashNet and a newly constructed Sri Lankan waste image dataset.
University of Vavuniya, Sri Lanka — 2025
Abstract
This research investigates the geographic generalization limitations of deep learning-based waste classification models trained on foreign… See the full description on the dataset page: https://huggingface.co/datasets/logeesan21112/waste-classification-sri-lanka.