SikongJueluo 9eb52f8cef feat(benchmark): support multi-dataset evaluation with configurable top-k list ...

- Evaluate multiple datasets in a single run (CIFAR10 + CIFAR100)
- Report Recall@K for a list of K values from one underlying search
- Save results to disk: summary.md, metrics.csv, per-dataset predictions.csv, confusion_matrix.csv
- Richer evaluation output: query_labels, topk_ids, topk_labels for downstream analysis
- Add --dataset and --top-k CLI overrides for benchmark command
- Update config schema: dataset→datasets, top_k→top_k_list

2026-05-31 18:58:01 +08:00

..

__init__.py

refactor(benchmarks): modularize benchmark system with config-driven execution

2026-03-02 20:03:38 +08:00

multi_object_retrieval.py

feat(test): add collect test images notebook and replace BitImageProcessorFast

2026-04-11 15:22:22 +08:00

registry.py

refactor(benchmarks): modularize benchmark system with config-driven execution

2026-03-02 20:03:38 +08:00

retrieval.py

feat(benchmark): support multi-dataset evaluation with configurable top-k list

2026-05-31 18:58:01 +08:00