# Image Classification on Flowers102 (5-way 2-shot) Source: [Image Classification on Flowers102 (5-way 2-shot)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:26.464Z Evaluation of 2-shot Image Classification performance on the Oxford 102 Category Flower Dataset using a 5-way setup, 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 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 | 99.37 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 98.63 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 97.89 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 94.3 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 86.6 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 83.65 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 81.75 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 79.54 | Not recorded | 6982d295a8b01e76cc8e9385 | | Random Tree | 78.59 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 77 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 73.73 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 73.21 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 70.49 | Not recorded | 6982d295a8b01e76cc8e9385 | ### RandAugment Accuracy: 99.37. Result ID: 6997533f5698665ec4a516cf. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 98.63. Result ID: 6997533f5698665ec4a516d0. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 97.89. Result ID: 6997533f5698665ec4a516ce. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Learned Accuracy: 94.3. Result ID: 6997533f5698665ec4a516d1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 86.6. Result ID: 6997533f5698665ec4a516c8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 83.65. Result ID: 6997533f5698665ec4a516c7. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 81.75. Result ID: 6997533f5698665ec4a516cc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 79.54. Result ID: 6997533f5698665ec4a516cb. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Random Tree Accuracy: 78.59. Result ID: 6997533f5698665ec4a516c6. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 77. Result ID: 6997533f5698665ec4a516ca. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Learned Accuracy: 73.73. Result ID: 6997533f5698665ec4a516c9. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Learned Accuracy: 73.21. Result ID: 6997533f5698665ec4a516cd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 70.49. Result ID: 6997533f5698665ec4a516c5. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. 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