metadata
license: cc-by-2.5
tags:
- waste-classification
- training
- image
Multi-Class Waste Image Classification Dataset
Overview
This dataset is curated for multi-class waste classification using computer vision and deep learning techniques. It provides a structured, high-quality benchmark for training custom CNN architectures, benchmarking transfer learning models, and building automated waste sorting pipelines.
Dataset Structure
The dataset follows a standard directory format compatible with common deep learning frameworks (torchvision.datasets.ImageFolder, tf.keras.utils.image_dataset_from_directory):
dataset/
├── Plastic waste/
├── Paper and cardboard waste/
├── Glass waste/
├── Metal waste/
├── Organic waste/
├── Electronic waste/
├── Medicinal waste/
├── Hazardous waste/
└── General Waste/