ModelPublicadoExterno

Image To Emotion Model

Model: Image → Emotion Classification Backbone: ResNet50 Classes: 6 emotions Accuracy: 67.8%

Fuentehuggingface.co/IIITH-25-27/Image_to_emotion_model/tree/95ca883c0ee373881de4a5162b117a1bd1c9771e

TipoOtherVersiónDensenet121 bestBcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 28,1 MB
Versión: vDensenet121 best
Actualizado: 8 oct 2026
Fuente: Hugging Face

Descripción de la fuente

ResNet50 Image Emotion Model

Model: Image → Emotion Classification
Backbone: ResNet50
Classes: 6 emotions
Accuracy: 67.8%

Fuentes

1 fuente

Hugging FacePrincipalVersión 95ca883c0ee373881de4a5162b117a1bd1c9771e

huggingface.co/IIITH-25-27/Image_to_emotion_model/tree/95ca883c0ee373881de4a5162b117a1bd1c9771e

Verificado 8 oct

Artefactos del modelo

1 artefacto

densenet121_best.pth

pth · 28,1 MB · SHA-256 5bb4cfe59aaa…7f24 · Hugging Face

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Extractos de fuentes

2 extractos

Readme30 julhuggingface.co/IIITH-25-27/Image_to_emotion_model

--- pipeline_tag: image-classification library_name: pytorch --- # ResNet50 Image Emotion Model Model: Image → Emotion Classification Backbone: ResNet50 Classes: 6 emotions Accuracy: 67.8%

Note30 julhuggingface.co/IIITH-25-27/Image_to_emotion_model

Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo IIITH-25-27/Image_to_emotion_model