Health Indicator Prediction on ZIP Code v1 (test)
131.2High Cholesterol ScoreGPS2Vec
Evaluation results
| Method | Links | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GPS2VecModality=visual2025.10 | 131.2 | — | 50 | 49.1 | 0.4 | 55.5 | 140 | 43.2 | 57.8 | 15.2 | 40.9 | 28.1 | 236.6 | 30.9 | 22.7 | 45.6 | 9.5 | 45.9 | 0.1 | 48.6 | 838.6 | 36.2 | 46.5 | |
| GeoCLIPPre-training Dataset=MP-162025.10 | 38.8 | — | 77.5 | 64.3 | 73.3 | 76 | 81.4 | 31 | 74.1 | 45.5 | 60.5 | 57.9 | 45.5 | 71.4 | 75.9 | 71.9 | 65.1 | 64.9 | 48.1 | 67.8 | 6.9 | 66 | 59.5 | |
| UrbanFusionPre-training Dataset=PP2-M2025.10 | 35 | — | 76.1 | 70.1 | 77.1 | 77.3 | 76 | 43.5 | 75.1 | 53.9 | 59.2 | 65 | 28.5 | 74.1 | 76.9 | 74.1 | 66.7 | 69.5 | 54.6 | 70.2 | 19.8 | 66 | 60.4 | |
| GeoCLIPPre-training Dataset=PP2-M2025.10 | 33.8 | — | 80.7 | 70.7 | 74 | 81.1 | 81.7 | 33.9 | 78.4 | 50.1 | 64.5 | 65.9 | 41.7 | 77.9 | 82.2 | 76.7 | 72.9 | 70.3 | 52.6 | 72.3 | 16.1 | 73.2 | 62.8 | |
| GAIRPre-training Dataset=PP2-M2025.10 | 28.4 | — | 78.3 | 68.4 | 72.4 | 76.5 | 77.4 | 27.8 | 75.1 | 42.6 | 59.8 | 61.2 | 1,635.5 | 75 | 76.2 | 72.7 | 66.2 | 66.3 | 45.9 | 72.2 | 15.3 | 68.9 | 20.9 | |
| SatCLIP L40Pre-training Dataset=PP2-M2025.10 | 15.2 | — | 46.1 | 30 | 33.9 | 44.4 | 76.7 | 6.5 | 43.4 | 24.9 | 37.6 | 27.5 | 3,318.7 | 51.6 | 52.8 | 37.4 | 36.7 | 36.6 | 28.4 | 36 | 3.3 | 32.8 | 124.6 | |
| PDFMPre-training Dataset=Google2025.10 | 11.3 | — | 81.4 | 81.5 | 67.2 | 85.6 | 18 | 61.1 | 84.5 | 6.6 | 72.1 | 72.7 | 26.6 | 67.2 | 67.8 | 80 | 46.3 | 77.7 | 67.9 | 78.1 | 264.6 | 73.8 | 44.4 | |
| GPS2VecModality=tag2025.10 | 7 | — | 59.6 | 54.4 | 65.6 | 62.8 | 65.6 | 6.6 | 63 | 161 | 44.8 | 48.8 | 7 | 62.3 | 64.3 | 57 | 31.9 | 53.6 | 32.6 | 54 | 52.7 | 53.4 | 31.7 | |
| SatCLIP L40Pre-training Dataset=S2-100K2025.10 | 6.1 | — | 39.1 | 26.3 | 31.6 | 35.4 | 73.1 | 9.7 | 36.5 | 20.9 | 26.3 | 19 | 16.1 | 45.9 | 49.8 | 30.1 | 39.3 | 26.1 | 22.1 | 22 | 10.1 | 534.3 | 1.5 | |
| SatCLIP L10Pre-training Dataset=S2-100K2025.10 | 5.8 | — | 29.8 | 22.1 | 0.8 | 32.4 | 76.8 | 11.1 | 28.2 | 13 | 19.1 | 16.9 | 25.9 | 41.1 | 49.2 | 26.3 | 34.5 | 18.2 | 25.6 | 23 | 10.3 | 33.2 | 25.8 | |
| CSPPre-training Dataset=FMoW2025.10 | 5.7 | — | 28.4 | 15.6 | 24.5 | 33.8 | 68.8 | 10.3 | 19.6 | 12.9 | 5.9 | 12.3 | 16.6 | 40 | 47.6 | 26.7 | 35.1 | 10.2 | 15.6 | 11.4 | 0.9 | 22.8 | 22.1 | |
| CSPPre-training Dataset=iNat2025.10 | 5.1 | — | 8.3 | 22.9 | 18.4 | 27.2 | 70.8 | 10 | 27.6 | 6.6 | 15.6 | 14.8 | 15.7 | 34.5 | 40.6 | 26.4 | 31.4 | 16.4 | 18.1 | 6.7 | 4.9 | 23.3 | 20.1 | |
| IdentityType=y ∼ g(c)2025.10 | 1.8 | — | 29 | 20.6 | 26.5 | 31.3 | 69.2 | 13.7 | 25.1 | 13.8 | 16.3 | 12.3 | 19.1 | 36.9 | 44.9 | 26.9 | 33.4 | 20.3 | 11.7 | 18.9 | 1.6 | 22.9 | 23.6 | |
| SatCLIP L10Pre-training Dataset=PP2-M2025.10 | 1 | — | 29.9 | 20.1 | 5.2 | 32.6 | 77.1 | 15.4 | 28.8 | 15.5 | 20 | 19.1 | 24.8 | 42.4 | 47.9 | 25.2 | 35.5 | 19.5 | 22.5 | 21.6 | 3.3 | 31.4 | 25.7 |