Gender Recognition on NanoLAGENDA (test)
99.51Accuracy (%)LLaVA-NeXT 34B
Evaluation results
| Method | Links | |
|---|---|---|
| LLaVA-NeXT 34BInput=Entire body2024.03 | 99.51 | |
| ShareGPT4V 7B FTInput=Entire body, Fine-tuned=True2024.03 | 99.51 | |
| ShareGPT4V 7BInput=Entire body2024.03 | 99.44 | |
| ShareGPT4V 13B FTInput=Entire body, Fine-tuned=True2024.03 | 99.44 | |
| LLaVA 1.5 7BInput=Entire body2024.03 | 99.38 | |
| ChatGPT4OInput=Entire body2024.03 | 98.66 | |
| ChatGPT4VInput=Entire body2024.03 | 98.43 | |
| ShareGPT4V 13B FTInput=W/o face, Fine-tuned=True2024.03 | 98.1 | |
| LLaVA-NeXT 34BInput=W/o face2024.03 | 97.82 | |
| MiVOLO 384Input=Body & face2024.03 | 97.71 | |
| ShareGPT4V 7B FTInput=W/o face, Fine-tuned=True2024.03 | 97.48 | |
| ShareGPT4V 7BInput=W/o face2024.03 | 97.24 | |
| ChatGPT4OInput=W/o face2024.03 | 96.92 | |
| MiVOLO 384Input=W/o face2024.03 | 95.61 | |
| LLaVA 1.5 7BInput=W/o face2024.03 | 94.85 | |
| ChatGPT4VInput=W/o face2024.03 | 93.02 |