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README.md
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---
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license: mit
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datasets:
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- SemilleroCV/BWMP2
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language:
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- es
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- en
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pipeline_tag: image-classification
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---
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# BWMP2: Dataset RGB para Clasificaci贸n de Materiales con un Modelo Fundacional Finamente Ajustado"
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<p align="center">
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<img src="https://github.com/Sneider-exe/Clasificacion_Materiales/raw/main/logo.jpg" alt="Descripci贸n alternativa de la imagen">
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</p>
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Este proyecto presenta un modelo fundacional(ResNet50) finamente ajustado para la clasificaci贸n de materiales. Utilizando un dataset propio de im谩genes RGB que contiene cinco clases (Ladrillo, Metal, Madera, Papel, Pl谩stico), el modelo es capaz de identificar y clasificar correctamente una imagen dentro de estas categor铆as
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# Sobre Resnet50
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<p align="center">
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<img src="https://miro.medium.com/v2/resize:fit:1400/0*tH9evuOFqk8F41FG.png" alt="Descripci贸n alternativa de la imagen">
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</p>
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Resnet50 es una arquitectura CNN, perteneciente a la familia de ResNet(redes residuales), modelos dise帽ados para trabajar con el entrenamiento de redes neuronales profundas
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Fue desarrollada por investigador de Microsoft Research Asia, conocida por su profundidad y eficiencia en tareas de clasificaci贸n de im谩genes.
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