# Image Classification on Food101 5-way 2-shot Source: [Image Classification on Food101 5-way 2-shot]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:26.528Z Evaluation of Image Classification performance on the Food101 dataset using a 5-way, 2-shot few-shot learning setup. 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) | Food101 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 | 64.18 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 64.14 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 62.2 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 55.66 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 51.32 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 49.78 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 47.82 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 46.23 | Not recorded | 6982d295a8b01e76cc8e9385 | | AutoAugment | 44.82 | Not recorded | 6982d295a8b01e76cc8e9385 | | RandAugment | 43.49 | Not recorded | 6982d295a8b01e76cc8e9385 | | Learned | 42.97 | Not recorded | 6982d295a8b01e76cc8e9385 | | Random Tree | 42.61 | Not recorded | 6982d295a8b01e76cc8e9385 | | Naive Baseline | 39.93 | Not recorded | 6982d295a8b01e76cc8e9385 | ### Learned Accuracy: 64.18. Result ID: 6997533f5698665ec4a51705. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 64.14. Result ID: 6997533f5698665ec4a51704. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 62.2. Result ID: 6997533f5698665ec4a51703. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 55.66. Result ID: 6997533f5698665ec4a51702. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ViT-Small"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 51.32. Result ID: 6997533f5698665ec4a516fc. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Learned Accuracy: 49.78. Result ID: 6997533f5698665ec4a516fd. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 47.82. Result ID: 6997533f5698665ec4a516f9. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 46.23. Result ID: 6997533f5698665ec4a516fb. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### AutoAugment Accuracy: 44.82. Result ID: 6997533f5698665ec4a51700. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### RandAugment Accuracy: 43.49. Result ID: 6997533f5698665ec4a516ff. [Reporting paper]() [Method origin paper]() [Implementation]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Learned Accuracy: 42.97. Result ID: 6997533f5698665ec4a51701. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. ### Random Tree Accuracy: 42.61. Result ID: 6997533f5698665ec4a516fa. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"ResNet50"}. This record does not assert independent reproduction. ### Naive Baseline Accuracy: 39.93. Result ID: 6997533f5698665ec4a516fe. [Reporting paper]() Recorded evaluation configuration: {"Backbone":"MobileNet"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.