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license: cc-by-nc-nd-4.0 |
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language: |
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- en |
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metrics: |
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- accuracy |
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pipeline_tag: image-classification |
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tags: |
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- biology |
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- agriculture |
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--- |
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Based on Inception V3 |
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K Plant Disease Detection 2 Epoch 10 |
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53 diffrent (class) diseased/healthy types of plant photos used |
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The reason of low accuracy is It gets confused because of same types of diseases of diffrent types of plants like "Peach___Bacterial_spot" and "Tomato___Bacterial_spot" |
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Here is the list of datasets used to train: |
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- [tomato dataset by Ashishmotwani](https://www.kaggle.com/datasets/ashishmotwani/tomato) |
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- [coffee-plant-disease dataset by Coffeedisease](https://www.kaggle.com/datasets/coffeedisease/coffee-plant-disease) |
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- [chili-plant-disease dataset by Dhenyd](https://www.kaggle.com/datasets/dhenyd/chili-plant-disease) |
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- [rice-leaf-diseases datase by Vbookshelf](https://www.kaggle.com/datasets/vbookshelf/rice-leaf-diseases) |
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- [new-plant-diseases-dataset by Vipool](https://www.kaggle.com/datasets/vipoooool/new-plant-diseases-dataset) |
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Device used: 8XLarge - 32 cores - 256 GB RAM - 100Gi Disk |
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Provider: Saturn Cloud |
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# Accuracy Metrics |
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