# Image Classification on Oxford-IIIT Pet 5-way 2-shot Source: [Image Classification on Oxford-IIIT Pet 5-way 2-shot]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:26.513Z Evaluation of Image Classification performance on the 5-way 2-shot setting of the Oxford-IIIT Pet 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) | Oxford-IIIT Pet 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 | 91.44 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 91.28 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 90.6 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 89.21 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 88.52 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 88.34 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 87.27 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 86.57 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 86.57 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 86.08 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 85.25 | Not recorded | 6982d295a8b01e76cc8e9385 | | Random Tree | 84.97 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 84.41 | Not recorded | 6982d295a8b01e76cc8e9385 | ### Learned Accuracy: 91.44. Result ID: 6997533f5698665ec4a516f8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 91.28. Result ID: 6997533f5698665ec4a516f6. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 90.6. Result ID: 6997533f5698665ec4a516f7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 89.21. Result ID: 6997533f5698665ec4a516f4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 88.52. Result ID: 6997533f5698665ec4a516f5. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 88.34. Result ID: 6997533f5698665ec4a516f0. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 87.27. Result ID: 6997533f5698665ec4a516f2. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 86.57. Result ID: 6997533f5698665ec4a516ec. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 86.57. Result ID: 6997533f5698665ec4a516ef. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 86.08. Result ID: 6997533f5698665ec4a516f3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 85.25. Result ID: 6997533f5698665ec4a516ee. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Random Tree Accuracy: 84.97. Result ID: 6997533f5698665ec4a516ed. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 84.41. Result ID: 6997533f5698665ec4a516f1. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. Page 1 of 1. 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