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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967e3fd5-f8b1-47af-a3c4-d22f0386b013___GCREC_Bact.Sp 5606

ID: 121517037

Label: tomato-bacterial-spot

c61de940-57a4-4902-a9c8-34dfaf924180___UF.GRC_YLCV_Lab 08540

ID: 121512739

Label: tomato-yellow-leaf-curl-virus

e1913ee9-80ad-4295-beb4-d9d51b61ab7e___UF.GRC_YLCV_Lab 02497

ID: 121513581

Label: tomato-yellow-leaf-curl-virus

d03457b5-ff94-4042-a225-15714454ab4e___RS_HL 0466

ID: 121515473

Label: tomato-healthy

3fb742ed-4a71-47d2-9c40-60768bc01cd4___GCREC_Bact.Sp 5977

ID: 121516141

Label: tomato-bacterial-spot

7a53588f-b543-4858-a3b5-0e9dab0eaf06___Com.G_TgS_FL 8004

ID: 121509256

Label: tomato-target-spot

0aacdad5-c9b9-4309-96e3-0797bbed1375___RS_HL 9836_flipTB

ID: 121514336

Label: tomato-healthy

0a578317-a98b-4e26-b17b-cd2930330375___Com.G_TgS_FL 0785_flipTB

ID: 121508267

Label: tomato-target-spot

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	111,859
No. of clones	48