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