# Image Classification on Plant Disease dataset (test)

Source: [Image Classification on Plant Disease dataset (test)](<https://www.sota2.com/research/sota/image-classification-on-plant-disease-dataset-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:31:48.415Z

Evaluation of standard Image Classification performance on the test split of the Plant Disease dataset, measured by Accuracy, Precision, Recall, and F1-Score.

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) | Plant Disease dataset (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| 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](<https://www.sota2.com/research/sota/image-classification-on-plant-disease-dataset-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/image-classification-on-plant-disease-dataset-test.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/image-classification-on-plant-disease-dataset-test.md?metric=Recall>): Higher is better; unit: PERCENT.

- [F1-Score](<https://www.sota2.com/research/sota/image-classification-on-plant-disease-dataset-test.md?metric=F1-Score>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| PlantDiseaseNet-RT50 | 97.72 | Not recorded | 694a21f49eebe296e72aa5d5 |
| DenseNet121 | 93 | Not recorded | 694a21f49eebe296e72aa5d5 |
| VGG16 | 91 | Not recorded | 694a21f49eebe296e72aa5d5 |
| AlexNet | 79 | Not recorded | 694a21f49eebe296e72aa5d5 |
| ResNet50 | 38 | Not recorded | 694a21f49eebe296e72aa5d5 |

### PlantDiseaseNet-RT50

Accuracy: 97.72. Result ID: 699822005698665ec47c478e.

[Reporting paper](<https://www.sota2.com/research/paper/694a21f49eebe296e72aa5d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/694a21f49eebe296e72aa5d5.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### DenseNet121

Accuracy: 93. Result ID: 699822005698665ec47c4791.

[Reporting paper](<https://www.sota2.com/research/paper/694a21f49eebe296e72aa5d5.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### VGG16

Accuracy: 91. Result ID: 699822005698665ec47c4790.

[Reporting paper](<https://www.sota2.com/research/paper/694a21f49eebe296e72aa5d5.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### AlexNet

Accuracy: 79. Result ID: 699822005698665ec47c4792.

[Reporting paper](<https://www.sota2.com/research/paper/694a21f49eebe296e72aa5d5.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### ResNet50

Accuracy: 38. Result ID: 699822005698665ec47c478f.

[Reporting paper](<https://www.sota2.com/research/paper/694a21f49eebe296e72aa5d5.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa62321e209131ce9f8328.md>)

Recorded evaluation configuration: {"variant":"baseline"}. This record does not assert independent reproduction.

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