ModelPrésentéExterne

Image To Emotion Model

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

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

TypeOtherVersionDensenet121 bestBClasse

Source du modèle

Type: Other
Taille du fichier: 28,1 MB
Version: vDensenet121 best
Mis à jour: 8 oct. 2026
Source: Hugging Face

Description de la source

ResNet50 Image Emotion Model

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

Sources

1 source

Hugging FacePrincipalVersion 95ca883c0ee373881de4a5162b117a1bd1c9771e

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

Vérifié 8 oct.

Artefacts du modèle

1 artefact

densenet121_best.pth

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

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Extraits de sources

2 extraits

Readme30 juil.huggingface.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 juil.huggingface.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