Cell line classification on Single-cell morphological dataset
100AccuracyCLIP ViT-B/16
Evaluation results
| Method | Links | |
|---|---|---|
| CLIP ViT-B/16Model Backbone=ViT-B/162026.06 | 100 | |
| SigLIP-ViT-B/16Model Backbone=ViT-B/162026.06 | 100 | |
| CP-CLIP SigLIP-ViT-B/16 (descriptor)Model Backbone=SigLIP-ViT-B/16, Representation Type=descriptor2026.06 | 100 | |
| CP-CLIP ViT-B/16 (fingerprint)Model Backbone=ViT-B/16, Representation Type=fingerprint2026.06 | 100 | |
| CP-CLIP ViT-B/16 (descriptor)Model Backbone=ViT-B/16, Representation Type=descriptor2026.06 | 100 | |
| CP-CLIP ViT-L/16 (descriptor)Model Backbone=ViT-L/16, Representation Type=descriptor2026.06 | 100 | |
| Gemini-2.5-Pro2026.06 | 52.6 | |
| Claude-4-Sonnet2026.06 | 45 | |
| Grok-42026.06 | 44.8 | |
| GPT-52026.06 | 37.7 | |
| Random Guessing2026.06 | 25 |