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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79d8d47a-c8c9-450d-a567-d096b307c532___GCREC_Bact.Sp 2973

ID: 121516955

Label: tomato-bacterial-spot

731cf3e6-e1a9-4258-9679-d7502ad51914___Crnl_L.Mold 7127_180deg

ID: 121522729

Label: tomato-leaf-mold

000bf685-b305-408b-91f4-37030f8e62db___GH_HL Leaf 308.1_new30degFlipLR

ID: 121513845

Label: tomato-healthy

5c49d086-dc47-480e-b5b1-0b69bacb66bf___PSU_CG 2241_270deg

ID: 121510802

Label: tomato-mosaic-virus

307e5715-9790-4321-af40-17209eafc1a6___JR_Sept.L.S 8372

ID: 121524506

Label: tomato-leaf-spot

ec18fe55-482e-4d1f-aa17-715b89f8a371___RS_Late.B 5093

ID: 121521038

Label: tomato-late-blight

a6891d50-81a2-4611-86cb-4db90ac9cda8___YLCV_NREC 2050

ID: 121512484

Label: tomato-yellow-leaf-curl-virus

b8102286-bab9-4bb2-bbbb-c30d02a2bbfc___UF.GRC_YLCV_Lab 02993

ID: 121512631

Label: tomato-yellow-leaf-curl-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	71,073
No. of clones	31