# Plant Disease Classification on Plant Disease Dataset (test) Source: [Plant Disease Classification on Plant Disease Dataset (test)]() Collection index: [llms.txt]() Data updated: 2026-04-14T11:43:25.082Z Evaluation of Plant Disease Classification performance on the test split of the Plant Disease Dataset, utilizing advanced metrics such as Balanced Accuracy, Matthews Correlation Coefficient, Cohen’s Kappa, and Macro-average AUC. 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 | Plant Disease Classification | | Dataset (including any stated split) | Plant Disease Dataset (test) | | Metric | Average Accuracy | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 10 of 10 | | 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 - [Average Accuracy](): Higher is better; unit: PERCENT. - [Balanced Accuracy](): Higher is better; unit: PERCENT. - [Matthews Correlation Coefficient](): Higher is better; unit: SCALAR. - [Cohen's Kappa](): Higher is better; unit: SCALAR. - [Macro AUC](): Higher is better; unit: PERCENT. ## Recorded results | Method | Average Accuracy | Result date | Report paper | | --- | --- | --- | --- | | PD36-C | 99.53 | Not recorded | 69ddca4c7d0172140ec79ce2 | | DenseNet201 | 93.48 | Not recorded | 69ddca4c7d0172140ec79ce2 | | ResNet101 | 93.25 | Not recorded | 69ddca4c7d0172140ec79ce2 | | EfficientNet-B0 | 93.16 | Not recorded | 69ddca4c7d0172140ec79ce2 | | ResNet50 | 93.03 | Not recorded | 69ddca4c7d0172140ec79ce2 | | ConvNeXtS | 92.9 | Not recorded | 69ddca4c7d0172140ec79ce2 | | NASNetMob | 92.6 | Not recorded | 69ddca4c7d0172140ec79ce2 | | ResNet18 | 91.45 | Not recorded | 69ddca4c7d0172140ec79ce2 | | GoogLeNet | 87.62 | Not recorded | 69ddca4c7d0172140ec79ce2 | | AlexNet | 86.93 | Not recorded | 69ddca4c7d0172140ec79ce2 | ### PD36-C Average Accuracy: 99.53. Result ID: 69de284b47f34ce924c6bccb. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Size (MB)":"14.3","Parameters (Millions)":"1.251","Depth":"18","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### DenseNet201 Average Accuracy: 93.48. Result ID: 69de284b47f34ce924c6bcc2. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"77.4","Parameters (Millions)":"20.1","Depth":"201","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### ResNet101 Average Accuracy: 93.25. Result ID: 69de284b47f34ce924c6bcc3. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"171","Parameters (Millions)":"44.6","Depth":"101","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### EfficientNet-B0 Average Accuracy: 93.16. Result ID: 69de284b47f34ce924c6bcc8. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"21","Parameters (Millions)":"5.3","Depth":"237","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### ResNet50 Average Accuracy: 93.03. Result ID: 69de284b47f34ce924c6bcc4. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"97.8","Parameters (Millions)":"25.6","Depth":"50","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### ConvNeXtS Average Accuracy: 92.9. Result ID: 69de284b47f34ce924c6bcca. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"192","Parameters (Millions)":"50.2","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### NASNetMob Average Accuracy: 92.6. Result ID: 69de284b47f34ce924c6bcc9. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"20","Parameters (Millions)":"5.3","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### ResNet18 Average Accuracy: 91.45. Result ID: 69de284b47f34ce924c6bcc7. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"44.7","Parameters (Millions)":"11.7","Depth":"18","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### GoogLeNet Average Accuracy: 87.62. Result ID: 69de284b47f34ce924c6bcc5. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"49.7","Parameters (Millions)":"6.62","Depth":"22","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. ### AlexNet Average Accuracy: 86.93. Result ID: 69de284b47f34ce924c6bcc6. [Reporting paper]() Recorded evaluation configuration: {"Size (MB)":"233","Parameters (Millions)":"61.1","Depth":"8","Input Image Sizes":"224x224"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.