# Image Classification on PlantVillage 5-shot (test) Source: [Image Classification on PlantVillage 5-shot (test)]() Collection index: [llms.txt]() Data updated: 2026-02-26T05:31:52.698Z Evaluation of standard Image Classification performance on the test split of the PlantVillage 5-shot configuration, 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) | PlantVillage 5-shot (test) | | Metric | Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 4 of 4 | | 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 | | --- | --- | --- | --- | | Ensemble MaxViT, ConvNeXt, Swin Transformer | 89.85 | Not recorded | 6940e7ba456146936284fa3b | | Ensemble MaxViT, ConvNeXt, Swin Transformer | 83.03 | Not recorded | 6940e7ba456146936284fa3b | | Ensemble MaxViT, ConvNeXt, Swin Transformer | 65.05 | Not recorded | 6940e7ba456146936284fa3b | | Ensemble 5 ResNets 4 DenseNets | 62.07 | Not recorded | 6940e7ba456146936284fa3b | ### Ensemble MaxViT, ConvNeXt, Swin Transformer Accuracy: 89.85. Result ID: 699846655698665ec4a32982. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Feature Extractor":"Ensemble MaxViT, ConvNeXt, Swin Transformer","Total Model Size (MB)":"500.3","GFLOPS":"22.98","Classifier":"Bi-LSTM"}. This record does not assert independent reproduction. ### Ensemble MaxViT, ConvNeXt, Swin Transformer Accuracy: 83.03. Result ID: 699846655698665ec4a32981. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Feature Extractor":"Ensemble MaxViT, ConvNeXt, Swin Transformer","Total Model Size (MB)":"500.3","GFLOPS":"22.98","Classifier":"LSTM"}. This record does not assert independent reproduction. ### Ensemble MaxViT, ConvNeXt, Swin Transformer Accuracy: 65.05. Result ID: 699846655698665ec4a32980. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Feature Extractor":"Ensemble MaxViT, ConvNeXt, Swin Transformer","Total Model Size (MB)":"500.3","GFLOPS":"22.98","Classifier":"Dense"}. This record does not assert independent reproduction. ### Ensemble 5 ResNets 4 DenseNets Accuracy: 62.07. Result ID: 699846655698665ec4a3297f. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Feature Extractor":"Ensemble 5 ResNets 4 DenseNets","Total Model Size (MB)":"900.01","GFLOPS":"47.01","Classifier":"Dense"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.