The Garbage Image Dataset consists of images of garbage items collected from nearby localities using smartphones. The dataset is categorized into five different classes. Each category represents a specific type of garbage item commonly found in everyday waste. The purpose of the Garbage Image Dataset is to provide a collection of labelled images of garbage items from different categories. The dataset can be used to train and evaluate deep learning models for garbage classification tasks.

5 FINAL GARBAGE DETECTION

## Overview

5 FINAL GARBAGE DETECTION is a dataset for object detection tasks - it contains Trash annotations for 1,097 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

4 BETTER GARBAGE DETECTION

## Overview

4 BETTER GARBAGE DETECTION is a dataset for object detection tasks - it contains Trash annotations for 984 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

5.2 BETTER GARBAGE DETECTION

## Overview

5.2 BETTER GARBAGE DETECTION is a dataset for object detection tasks - it contains Trash annotations for 996 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

Dataset Card for detect-waste

  Dataset Summary

AI4Good project for detecting waste in environment. www.detectwaste.ml. Our latest results were published in Waste Management journal in article titled Deep learning-based waste detection in natural and urban environments. You can find more technical details in our technical report Waste detection in Pomerania: non-profit project for detecting waste in environment. Did you know that we produce 300 million tons of plastic every… See the full description on the dataset page: https://huggingface.co/datasets/Yorai/detect-waste.

Garbage Object-Detection to Identify Disposal Class

This dataset detects various kinds of waste, labeling with a class that indentifies how it should be disposed

This dataset is designed for binary image classification tasks focused on detecting waste in beach environments. It consists of two categories: waste: Images containing visible trash, debris, or pollutants on beach surfaces. not_waste: Images showing clean beach areas with no visible waste.

The dataset can be used to train and evaluate deep learning models such as CNNs or transfer learning-based architectures (e.g., ResNet, MobileNet) for environmental monitoring, beach cleanliness automation, or AI-driven sustainability projects.

💡 Use Cases Environmental monitoring using computer vision Training waste detection models for drones or robots Public awareness and data-driven CSR initiatives 📁 Folder Structure Beach_Waste_Dataset/ ├── train/ │ ├── waste/ │ └── not_waste/ └── val/ ├── waste/ └── not_waste/ Each folder contains JPEG/PNG images resized and preprocessed to standard formats (e.g., 224x224). The dataset was prepared manually and can be extended with more images or annotations if needed.

Floating Garbage Detection

## Overview

Floating Garbage Detection is a dataset for object detection tasks - it contains Garbage annotations for 3,431 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset contains information on the Town’s current collection schedule, including pick-up day and recycling week designation.The Town of Cary collects garbage weekly at the curb on the same day as yard waste collection. The Town provides rollout carts for household garbage that should be rolled to the curb each week. Rows in this dataset represent contiguous geographical areas (polygons) containing addresses on the same route. They do not represent individual addresses on a route or distinct routes. Check out the 'Map' tab to see information for your address.The Town collects recycling every other week on the same day as garbage and yard waste collection.For more information please refer to Public Work's web page.This dataset is updated following alterations to solid waste and/or recycling routes.

Aerial Garbage Detection

## Overview

Aerial Garbage Detection is a dataset for object detection tasks - it contains Garbage annotations for 956 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The Asia Garbage Collection Market report segments the industry into By Product Type (Waste Disposal Equipment, Waste Recycling, Sorting Equipment), By Waste Type (Hazardous Waste, Non-Hazardous Waste), By Collection Type (Curbside Pickup, Door-to-door Collection, Community Recycling Programs), By End User (Municipal Waste Management, Healthcare, Chemical, Mining), and By Region (China, Japan, India, Rest of Asia).

Garbage Classification Dataset

  Dataset Summary

This dataset contains images of garbage items categorized into 10 classes, designed for machine learning and computer vision projects focusing on recycling and waste management.
It is ideal for building classification or object detection models, or developing AI-powered solutions for sustainable waste disposal.

Total Images: 19,762
Number of Classes: 10

  Class Distribution

Metal: 1020
Glass: 3061… See the full description on the dataset page: https://huggingface.co/datasets/omasteam/waste-garbage-management-dataset.

A polygon map layer showing the areas (or zones) where garbage is collected. Mitchell is a rural shire and garbage collection is not universal.

Garbage Image dataset

Dataset consists of images, bounding-boxes and segmentations for each elements. @misc{ garbage-classifier-oehkt_dataset, title = { Garbage Classifier Dataset }, type = { Open Source Dataset }, author = { Student }, howpublished = { \url{ https://universe.roboflow.com/student-utr07/garbage-classifier-oehkt } }, url = { https://universe.roboflow.com/student-utr07/garbage-classifier-oehkt }, journal = { Roboflow Universe }, publisher = { Roboflow… See the full description on the dataset page: https://huggingface.co/datasets/dmedhi/garbage-image-classification-detection.

Dataset: COCO-Formatted Object Detection Dataset

Overview

This dataset is designed for object detection tasks and follows the COCO format. It contains 300 images and corresponding annotation files in JSON format. The dataset is split into training, validation, and test sets, ensuring a balanced distribution for model evaluation.

Dataset Structure

The dataset is organized into three main folders:

train/ (70% - 210 images)

valid/ (15% - 45 images)

test/ (15% - 45 images)

Each folder contains:

Images in JPEG/PNG format.

A corresponding _annotations.coco.json file that includes bounding box annotations.

Preprocessing & Augmentations

The dataset has undergone several preprocessing and augmentation steps to enhance model generalization:

Image Preprocessing:

Auto-orientation applied

Resized to 640x640 pixels (stretched)

Augmentation Techniques:

Flip: Horizontal flipping

Crop: 0% minimum zoom, 5% maximum zoom

Rotation: Between -5° and +5°

Saturation: Adjusted between -4% and +4%

Brightness: Adjusted between -10% and +10%

Blur: Up to 0px

Noise: Up to 0.1% of pixels

Bounding Box Augmentations:

Flipping, cropping, rotation, brightness adjustments, blur, and noise applied accordingly to maintain annotation consistency.

Annotation Format

The dataset follows the COCO (Common Objects in Context) format, which includes:

images section: Contains image metadata such as filename, width, and height.

annotations section: Includes bounding boxes, category IDs, and segmentation masks (if applicable).

categories section: Defines class labels.

Garbage Collection MapView this map here

Polygon data of Garbage Collection Zones for the City of Melbourne. Includes waste and recycling, with date, repeat and interval in ISO8601. Data was created following the Open Council Data Standards. Data field metadata can be found here: http://standards.opencouncildata.org/#/garbage-collection-zones. Although all due care has been taken to ensure that these data are correct, no warranty is expressed or implied by the City of Melbourne in their use.

Outdoor Garbage - Smart Cities Dataset

Dataset comprises 5,000+ images of trash cans captured in various outdoor environments at different times of day and under diverse weather conditions. This extensive collection is designed for research in waste classification and detection methods, researchers can advance their capabilities in deep learning and machine learning applications, specifically in the areas of image recognition and instance segmentation. By utilizing this dataset… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/outdoor-garbage.

Trash Classification - 5,000+ photos

Dataset comprises 5,000+ photos of garbage cans featuring various capacities, types, and waste materials, designed for advancing garbage classification and waste management systems. By leveraging this dataset, researchers and developers can enhance classification systems, automate garbage collection processes, and improve strategies for reducing environmental pollution. - Get the data

  Dataset characteristics:

Characteristic… See the full description on the dataset page: https://huggingface.co/datasets/ud-smart-city/garbage-classification.

Comprehensive dataset of 4,535 Garbage collection services in United Kingdom as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.