Image Classification On Coloninst V1 Seen
Métriques
Accuray
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuray |
|---|---|
| mini-gemini-mining-the-potential-of-multi | 93.24 |
| llava-med-training-a-large-language-and | 93.84 |
| llava-med-training-a-large-language-and | 87.22 |
| efficient-multimodal-learning-from-data | 91.16 |
| efficient-multimodal-learning-from-data | 92.47 |
| minigpt-v2-large-language-model-as-a-unified | 90.00 |
| improved-baselines-with-visual-instruction | 92.97 |
| improved-baselines-with-visual-instruction | 93.33 |
| mini-gemini-mining-the-potential-of-multi | 92.97 |
| frontiers-in-intelligent-colonoscopy | 94.06 |
| llava-med-training-a-large-language-and | 93.62 |
| llava-med-training-a-large-language-and | 93.52 |
| mobilevlm-a-fast-reproducible-and-strong | 93.02 |
| mobilevlm-a-fast-reproducible-and-strong | 93.64 |
| visual-instruction-tuning-1 | 89.61 |
| minigpt-v2-large-language-model-as-a-unified | 91.49 |
| visual-instruction-tuning-1 | 87.86 |