# Image Classification on Stanford Dogs 5-way 2-shot Source: [Image Classification on Stanford Dogs 5-way 2-shot]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:26.480Z Evaluation of Image Classification performance using a 5-way, 2-shot few-shot learning protocol on 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 2-shot | | 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 | | --- | --- | --- | --- | | RandAugment | 86.95 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 85.15 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 83.97 | Not recorded | 6982d295a8b01e76cc8e9385 | | Random Tree | 83.76 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 83.67 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 82.23 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 80.76 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 80.61 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 78.44 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 77.51 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 75.34 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 75.26 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 73.72 | Not recorded | 6982d295a8b01e76cc8e9385 | ### RandAugment Accuracy: 86.95. Result ID: 6997533f5698665ec4a516dc. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 85.15. Result ID: 6997533f5698665ec4a516d6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 83.97. Result ID: 6997533f5698665ec4a516dd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Random Tree Accuracy: 83.76. Result ID: 6997533f5698665ec4a516d3. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 83.67. Result ID: 6997533f5698665ec4a516db. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 82.23. Result ID: 6997533f5698665ec4a516d5. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 80.76. Result ID: 6997533f5698665ec4a516d4. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Learned Accuracy: 80.61. Result ID: 6997533f5698665ec4a516de. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 78.44. Result ID: 6997533f5698665ec4a516d2. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Learned Accuracy: 77.51. Result ID: 6997533f5698665ec4a516da. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 75.34. Result ID: 6997533f5698665ec4a516d7. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 75.26. Result ID: 6997533f5698665ec4a516d9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 73.72. Result ID: 6997533f5698665ec4a516d8. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. Page 1 of 1. 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