# Image Classification on Stanford Cars 5-way 2-shot Source: [Image Classification on Stanford Cars 5-way 2-shot]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:26.498Z Evaluation of Image Classification performance on the 5-way 2-shot setting of the Stanford Cars dataset, reporting 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 | Image Classification | | Dataset (including any stated split) | Stanford Cars 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 | | --- | --- | --- | --- | | Learned | 46.32 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 43.83 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 42.74 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 40.64 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 40.4 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 37.36 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 37.2 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 36.95 | Not recorded | 6982d295a8b01e76cc8e9385 | | Random Tree | 36.94 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 36.3 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 35.35 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 34.68 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 30.9 | Not recorded | 6982d295a8b01e76cc8e9385 | ### Learned Accuracy: 46.32. Result ID: 6997533f5698665ec4a516eb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 43.83. Result ID: 6997533f5698665ec4a516e9. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 42.74. Result ID: 6997533f5698665ec4a516ea. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 40.64. Result ID: 6997533f5698665ec4a516e8. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 40.4. Result ID: 6997533f5698665ec4a516e3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Learned Accuracy: 37.36. Result ID: 6997533f5698665ec4a516e7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 37.2. Result ID: 6997533f5698665ec4a516e1. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 36.95. Result ID: 6997533f5698665ec4a516e6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Random Tree Accuracy: 36.94. Result ID: 6997533f5698665ec4a516e0. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 36.3. Result ID: 6997533f5698665ec4a516e5. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 35.35. Result ID: 6997533f5698665ec4a516e4. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 34.68. Result ID: 6997533f5698665ec4a516e2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 30.9. Result ID: 6997533f5698665ec4a516df. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.