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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
KindOtherVersionDensenet121 bestBgrade

Model source

Kind
Other
File size
28.1 MB
Version
vDensenet121 best
Updated
Oct 8, 2026
Source
Hugging Face

Source description

ResNet50 Image Emotion Model

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

Sources

1 source
Hugging FacePrimaryVersion 95ca883c0ee373881de4a5162b117a1bd1c9771e
huggingface.co/IIITH-25-27/Image_to_emotion_model/tree/95ca883c0ee373881de4a5162b117a1bd1c9771e

Verified Oct 8

Model artifacts

1 artifact

densenet121_best.pth

pth · 28.1 MB · SHA-256 5bb4cfe59aaa…7f24 · Hugging Face

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Source excerpts

2 excerpts
ReadmeJul 30huggingface.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%

NoteJul 30huggingface.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