Gerrit / plant-disease Public

Target: Sony Spresense (Cortex-M4F 156MHz) Clone this project

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plant-disease

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About this project

This project uses the New Plant Diseases Dataset to train and validate a classifier that can detect 9 different plant diseases on tomato plants. The total dataset is divided into a 80/20 ratio of training and validation data.

Data (22,917 items)

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502bbd0a-8c84-4723-8e16-446655d5563d___RS_HL 0423

ID: 121515157

Label: tomato-healthy

1cc31c92-0fbd-488a-b0a2-ef25f985bf13___Com.G_TgS_FL 9840_flipTB

ID: 121508844

Label: tomato-target-spot

132e22f8-a438-433a-a6b1-035499046450___Matt.S_CG 2659

ID: 121523857

Label: tomato-leaf-spot

2e7b090e-4fc6-42f2-8bf6-3f84b32712e5___RS_Erly.B 7470

ID: 121517617

Label: tomato-early-blight

eab7f198-a04b-4e25-b329-41e7666d1fde___Crnl_L.Mold 6773

ID: 121523198

Label: tomato-leaf-mold

7bf1decf-376a-4ee7-836e-23f60aee5d46___RS_Late.B 6179

ID: 121521123

Label: tomato-late-blight

41c22793-8ecf-4092-bd42-894271441cd0___UF.GRC_BS_Lab Leaf 0665

ID: 121516154

Label: tomato-bacterial-spot

ad0f47b8-f36c-42a8-8c9d-9c24f91a3ef1___Crnl_L.Mold 8891_180deg

ID: 121522921

Label: tomato-leaf-mold

Model accuracy (Unoptimized (float32))

Validation set

92.4%

Test set

On-device performance (Sony Spresense (Cortex-M4F 156MHz), Quantized (int8))

Latency

1021 ms.

Peak RAM usage

260.1K

Flash usage

325.0K

Run this model

On any device

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Dataset summary

Data collected

22,917 items

Labels

testing, tomato-bacterial-spot, tomato-early-blight, tomato-healthy, tomato-late-blight and 6 others

Project info

Project ID	117043
Project version	1
License	No license attached
No. of views	75,138
No. of clones	32