Datasets:
image image | label class label |
|---|---|
1Food Organics | |
0Cardboard | |
6Plastic | |
8Vegetation | |
2Glass | |
0Cardboard | |
3Metal | |
3Metal | |
7Textile Trash | |
4Miscellaneous Trash | |
6Plastic | |
8Vegetation | |
2Glass | |
2Glass | |
1Food Organics | |
7Textile Trash | |
7Textile Trash | |
1Food Organics | |
4Miscellaneous Trash | |
7Textile Trash | |
0Cardboard | |
0Cardboard | |
6Plastic | |
7Textile Trash | |
8Vegetation | |
6Plastic | |
8Vegetation | |
6Plastic | |
3Metal | |
0Cardboard | |
7Textile Trash | |
0Cardboard | |
6Plastic | |
4Miscellaneous Trash | |
1Food Organics | |
5Paper | |
7Textile Trash | |
4Miscellaneous Trash | |
8Vegetation | |
1Food Organics | |
1Food Organics | |
5Paper | |
2Glass | |
4Miscellaneous Trash | |
5Paper | |
3Metal | |
3Metal | |
6Plastic | |
3Metal | |
8Vegetation | |
2Glass | |
8Vegetation | |
3Metal | |
6Plastic | |
6Plastic | |
1Food Organics | |
4Miscellaneous Trash | |
4Miscellaneous Trash | |
3Metal | |
1Food Organics | |
6Plastic | |
5Paper | |
5Paper | |
8Vegetation | |
1Food Organics | |
3Metal | |
0Cardboard | |
2Glass | |
5Paper | |
7Textile Trash | |
5Paper | |
3Metal | |
6Plastic | |
6Plastic | |
8Vegetation | |
4Miscellaneous Trash | |
4Miscellaneous Trash | |
8Vegetation | |
7Textile Trash | |
3Metal | |
5Paper | |
1Food Organics | |
4Miscellaneous Trash | |
8Vegetation | |
6Plastic | |
0Cardboard | |
8Vegetation | |
7Textile Trash | |
3Metal | |
3Metal | |
3Metal | |
2Glass | |
8Vegetation | |
6Plastic | |
5Paper | |
3Metal | |
1Food Organics | |
2Glass | |
0Cardboard | |
6Plastic |
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 corresponde al autor en Kaggle. Esta versión se publica únicamente con fines académicos.
Clases
Cardboard, Food Organics, Glass, Metal, Miscellaneous Trash, Paper,
Plastic, Textile Trash, Vegetation.
Splits
- train: 3236 imágenes (85% del train original, estratificado por clase).
- validation: 572 imágenes (15% del train original, estratificado por clase).
- test: 957 imágenes (test original de Kaggle, sin modificar).
Total: 4765 imágenes JPG.
Licencia
CC BY-NC-SA 4.0 — uso no comercial, con atribución, manteniendo la misma licencia.
Cita
Si usás este dataset, citá al autor original del dataset de Kaggle:
smarthkaushal. Waste Segregation. Kaggle. https://www.kaggle.com/datasets/smarthkaushal/waste-segregation
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