You can deploy this model and start earning money today!

happy8825/
siglip_classification_result_20251217_010209

Views

No views yet

SigLIP Classification Eval

Model: happy8825/siglip-ecva-main

Test repo: happy8825/siglip_test (split: train)

Samples visualized: 50 of 924

Metrics

accuracy: 0.5790

f1: 0.5482

total: 924, correct: 535

Evaluation Runtime

dataset size: 924

total time: 23.80 sec

avg infer time (per sample): 6.54 ms

GPU memory avg: 363.5 MiB

GPU memory peak: 370.9 MiB

Confusion Matrix

happy8825/siglip_classification_result_20251217_010209