| --- |
| 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`): |
|
|
| ```text |
| dataset/ |
| ├── Plastic waste/ |
| ├── Paper and cardboard waste/ |
| ├── Glass waste/ |
| ├── Metal waste/ |
| ├── Organic waste/ |
| ├── Electronic waste/ |
| ├── Medicinal waste/ |
| ├── Hazardous waste/ |
| └── General Waste/ |
