# Image Classification on Flowers102 5-way 5-shot (test) Source: [Image Classification on Flowers102 5-way 5-shot (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:26.709Z Evaluation of 5-way 5-shot Image Classification performance on the Oxford 102 Category Flower Dataset test split, 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) | Flowers102 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 | 99.89 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 99.89 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 99.78 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 99.34 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 91.47 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 89.92 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 89.26 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 89.04 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 88.82 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 86.6 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 84.95 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 82.61 | Not recorded | 6982d295a8b01e76cc8e9385 | | Random Tree | 79.51 | Not recorded | 6982d295a8b01e76cc8e9385 | ### RandAugment Accuracy: 99.89. Result ID: 6997533f5698665ec4a5171d. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 99.89. Result ID: 6997533f5698665ec4a5171e. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 99.78. Result ID: 6997533f5698665ec4a5171c. [Reporting paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 99.34. Result ID: 6997533f5698665ec4a5171f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ViT-Small"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 91.47. Result ID: 6997533f5698665ec4a51719. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 89.92. Result ID: 6997533f5698665ec4a51716. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 89.26. Result ID: 6997533f5698665ec4a5171a. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 89.04. Result ID: 6997533f5698665ec4a51715. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 88.82. Result ID: 6997533f5698665ec4a51718. [Reporting paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### Learned Accuracy: 86.6. Result ID: 6997533f5698665ec4a5171b. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"MobileNet"}. This record does not assert independent reproduction. ### Learned Accuracy: 84.95. Result ID: 6997533f5698665ec4a51717. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 82.61. Result ID: 6997533f5698665ec4a51713. [Reporting paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. ### Random Tree Accuracy: 79.51. Result ID: 6997533f5698665ec4a51714. [Reporting paper]() Recorded evaluation configuration: {"Model":"ResNet50"}. This record does not assert independent reproduction. Page 1 of 1. 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