# Image Classification on Oxford-IIIT Pet 5-way 5-shot (test) Source: [Image Classification on Oxford-IIIT Pet 5-way 5-shot (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:26.751Z Evaluation of Image Classification performance on the 5-way 5-shot setting of the Oxford-IIIT Pet dataset test split, reporting standard 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 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 | | --- | --- | --- | --- | | RandAugment | 95.44 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 95.37 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 94.95 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 93.63 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 93.61 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 93.54 | Not recorded | 6982d295a8b01e76cc8e9385 | | Random Tree | 93.12 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 92.91 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 92.07 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 90.53 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 90.32 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 90.14 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 88.56 | Not recorded | 6982d295a8b01e76cc8e9385 | ### RandAugment Accuracy: 95.44. Result ID: 6997533f5698665ec4a51744. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 95.37. Result ID: 6997533f5698665ec4a51745. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 94.95. Result ID: 6997533f5698665ec4a51743. [Reporting paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 93.63. Result ID: 6997533f5698665ec4a5173e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 93.61. Result ID: 6997533f5698665ec4a5173d. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### Learned Accuracy: 93.54. Result ID: 6997533f5698665ec4a51746. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### Random Tree Accuracy: 93.12. Result ID: 6997533f5698665ec4a5173b. [Reporting paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 92.91. Result ID: 6997533f5698665ec4a5173c. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 92.07. Result ID: 6997533f5698665ec4a5173a. [Reporting paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### Learned Accuracy: 90.53. Result ID: 6997533f5698665ec4a51742. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 90.32. Result ID: 6997533f5698665ec4a51740. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 90.14. Result ID: 6997533f5698665ec4a51741. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 88.56. Result ID: 6997533f5698665ec4a5173f. [Reporting paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. Page 1 of 1. 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