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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80d2ad46-e4a5-47ec-9c63-d1e4780575ee___Crnl_L.Mold 8809

ID: 121522764

Label: tomato-leaf-mold

4193a3fe-d859-4354-b9e7-ec143f24ca01___JR_Sept.L.S 2579

ID: 121524561

Label: tomato-leaf-spot

93d00575-64fc-4cb6-93c1-91be73a0b90c___GH_HL Leaf 313.1

ID: 121514974

Label: tomato-healthy

52f9209f-48d2-4d2b-8c3a-fe03d217d581___Com.G_SpM_FL 8934

ID: 121526367

Label: tomato-spider-mites

65a8115c-7646-4226-adbb-c819baac010a___Crnl_L.Mold 6842_flipTB

ID: 121522690

Label: tomato-leaf-mold

d7ee8962-2ee6-4da6-aadd-d181aa54a498___Crnl_L.Mold 8922

ID: 121523120

Label: tomato-leaf-mold

b6301c1d-250f-43df-a7e9-ab9d61c1c8b8___PSU_CG 2296_180deg

ID: 121511130

Label: tomato-mosaic-virus

ee1d7f40-d80c-4cac-9cd3-1a687431496e___PSU_CG 2282_180deg

ID: 121511677

Label: tomato-mosaic-virus

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	68,326
No. of clones	28