# Image Classification on Stanford Dogs 5-way 5-shot (test) Source: [Image Classification on Stanford Dogs 5-way 5-shot (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:26.722Z Evaluation of 5-way, 5-shot few-shot Image Classification performance on the test split of the Stanford Dogs dataset. 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 | Image Classification | | Dataset (including any stated split) | Stanford Dogs 5-way 5-shot (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 13 of 13 | | 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 - [Accuracy](): Higher is better; unit: PERCENT. ## Recorded results | Method | Accuracy | Result date | Report paper | | --- | --- | --- | --- | | Learned | 91.35 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 91.24 | Not recorded | 6982d295a8b01e76cc8e9385 | | Random Tree | 90.81 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 89.73 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 89.21 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 88.73 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 88.69 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 87.99 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 84.66 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 83.4 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 83.1 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 82.88 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 81.49 | Not recorded | 6982d295a8b01e76cc8e9385 | ### Learned Accuracy: 91.35. Result ID: 6997533f5698665ec4a51724. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 91.24. Result ID: 6997533f5698665ec4a51723. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### Random Tree Accuracy: 90.81. Result ID: 6997533f5698665ec4a51721. [Reporting paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 89.73. Result ID: 6997533f5698665ec4a5172a. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 89.21. Result ID: 6997533f5698665ec4a51722. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 88.73. Result ID: 6997533f5698665ec4a51729. [Reporting paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 88.69. Result ID: 6997533f5698665ec4a51720. [Reporting paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 87.99. Result ID: 6997533f5698665ec4a5172b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 84.66. Result ID: 6997533f5698665ec4a5172c. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 83.4. Result ID: 6997533f5698665ec4a51728. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 83.1. Result ID: 6997533f5698665ec4a51727. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 82.88. Result ID: 6997533f5698665ec4a51725. [Reporting paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 81.49. Result ID: 6997533f5698665ec4a51726. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. Page 1 of 1. 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