Buckets:
| { | |
| "dataset": "FER2013", | |
| "model_name": "VGG based", | |
| "model_links": [], | |
| "paper_title": "IdentiFace : A VGG Based Multimodal Facial Biometric System", | |
| "paper_url": "https://arxiv.org/abs/2401.01227v2", | |
| "metrics": { | |
| "5-class test accuracy": "66.13%" | |
| }, | |
| "table_metrics": { | |
| "5-class test accuracy": "66.13%" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\nPaper: IdentiFace : A VGG Based Multimodal Facial Biometric System\nCodebase: Repository not available\n\nImprove the VGG based model on the FER2013 dataset. The result should improve on the following metrics: {'5-class test accuracy': '66.13%'}. You must use only the codebase provided." | |
| ] | |
| } |
Xet Storage Details
- Size:
- 686 Bytes
- Xet hash:
- 0d58070160cfb276ca1f3d233400ac82b60f7dfe80f8395bf1b4dc4c3caacd64
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