waste
Datasets
All datasets matching “waste”Waste-Dumpsites-DroneImagery
Dataset for Waste/Dumpsite Detection using drone imagery
Contains 2115 drone images of illegal waste dumpsites
1280 x 1280 px resolution
Nadir perspective (camera pointing straight down at a 90-degree angle to the ground)
Annotations and Images
train | valid | test
actual images
COCO - annotations_coco.json files in each split directory
.parquet files in data directory with embeded images
The dataset was collected as part of the [ Raven Scan ] project, more… See the full description on the dataset page: https://huggingface.co/datasets/INS-IntelligentNetworkSolutions/Waste-Dumpsites-DroneImagery.WasteWise
Trash Classification Project
Overview
This project focuses on trash classification using machine learning, leveraging multiple datasets with a total of 8,895 images from diverse sources.
Datasets
1. Drinking Waste Classification
Images: 4,832
Organization: Directory-based sorting
Classes: 4 recyclable categories
Aluminium Cans
Glass Bottles
PET (Plastic) Bottles
HDPE (Plastic) Milk Bottles
2. TACO (Trash Annotations in Context)… See the full description on the dataset page: https://huggingface.co/datasets/luke-c/WasteWise.waste-garbage-management-dataset
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/steveharianto/waste-garbage-management-dataset.food-waste-dataset
Dataset Card for Food Waste Dataset
This is a FiftyOne dataset with 375 samples focused on food waste analysis and nutritional content detection.
Installation
If you haven't already, install FiftyOne:
pip install -U fiftyone
Usage
import fiftyone as fo
from fiftyone.utils.huggingface import load_from_hub
# Load the dataset
# Note: other available arguments include 'max_samples', etc
dataset = load_from_hub("Voxel51/food-waste-dataset")
# Launch the app from… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/food-waste-dataset.E-Waste-Databasedetect-waste
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.