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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05afadf4-12e7-478e-bb0c-334e2bf553f3___Com.G_TgS_FL 0744

ID: 121508152

Label: tomato-target-spot

8d679bc8-b9a3-48eb-83e1-99eeace768e3___Com.G_SpM_FL 8486

ID: 121526882

Label: tomato-spider-mites

51f589f7-d843-4d5d-8c5a-385951f58865___RS_Erly.B 9424_180deg

ID: 121517735

Label: tomato-early-blight

23504c14-516b-4fe1-9a5e-2eb4061a69cc___UF.GRC_YLCV_Lab 02272

ID: 121512300

Label: tomato-yellow-leaf-curl-virus

76bf0511-84d8-4609-94e6-248bea3d1465___GCREC_Bact.Sp 6032

ID: 121516943

Label: tomato-bacterial-spot

e19ffd2f-e299-49c2-b445-270a938fc4e7___PSU_CG 2251_newPixel25

ID: 121511291

Label: tomato-mosaic-virus

c551c562-b93a-4b2e-9058-12519414b3ff___Matt.S_CG 2882

ID: 121525245

Label: tomato-leaf-spot

15f1e22a-9c70-4060-a275-fac10c196341___PSU_CG 2118_180deg

ID: 121510598

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	102,338
No. of clones	44