Datasetpublic

happy8825/siglip_classification_result_20251217_011529

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: 24.64 sec avg infer time (per sample): 6.97 ms GPU memory avg: 363.5 MiB GPU memory peak: 370.9 MiB Confusion Matrix

sourceHugging Faceupdated 9mo agoView on Hugging Face

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Dataset Card

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: 24.64 sec

—avg infer time (per sample): 6.97 ms

—GPU memory avg: 363.5 MiB

—GPU memory peak: 370.9 MiB

Confusion Matrix

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