# kNN Search Accuracy on ImageNet Source: [kNN Search Accuracy on ImageNet]() Collection index: [llms.txt]() Data updated: 2026-02-26T06:06:55.334Z Evaluation of kNN search performance on the standard ImageNet dataset, reporting Top-1 and Top-5 retrieval accuracy. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | kNN search accuracy | | Dataset (including any stated split) | ImageNet | | Metric | Top-1 Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 5 of 5 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Top-1 Accuracy](): Higher is better; unit: PERCENT. - [Top-5 Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Top-1 Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Graph-RISE | 68.29 | Not recorded | 68fa65711e209131cea0a720 | | ResNet | 66.2 | Not recorded | 68fa65711e209131cea0a720 | | ResNet | 62.49 | Not recorded | 68fa65711e209131cea0a720 | | Inception | 61.92 | Not recorded | 68fa65711e209131cea0a720 | | DeepRanking | 35.2 | Not recorded | 68fa65711e209131cea0a720 | ### Graph-RISE Top-1 Accuracy: 68.29. Result ID: 698cada58b517eb4331c007b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"ResNet-101","Pre-training labels":"40M","Input resolution":"289x289"}. This record does not assert independent reproduction. ### ResNet Top-1 Accuracy: 66.2. Result ID: 698cada58b517eb4331c007a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"ResNet-101","Pre-training labels":"40M","Input resolution":"289x289"}. This record does not assert independent reproduction. ### ResNet Top-1 Accuracy: 62.49. Result ID: 698cada58b517eb4331c0079. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"ResNet-101","Pre-training labels":"8M","Input resolution":"289x289"}. This record does not assert independent reproduction. ### Inception Top-1 Accuracy: 61.92. Result ID: 698cada58b517eb4331c0078. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"Inception","Pre-training labels":"8M","Input resolution":"224x224"}. This record does not assert independent reproduction. ### DeepRanking Top-1 Accuracy: 35.2. Result ID: 698cada58b517eb4331c0077. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Architecture":"Inception","Input resolution":"224x224"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.