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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72e9c57b-b2c7-4ce2-a2c8-e5fbb1524a1e___Com.G_SpM_FL 1293

ID: 121526445

Label: tomato-spider-mites

a1d8e2a7-c4c9-42d2-8a0d-bcf04053412f___GCREC_Bact.Sp 5672

ID: 121516516

Label: tomato-bacterial-spot

3b87f866-1d80-4b22-99f8-108e315c9029___RS_HL 0394_newPixel25

ID: 121514645

Label: tomato-healthy

a02557d9-976b-4b21-8318-aecef263f90c___GHLB2 Leaf 8649

ID: 121520748

Label: tomato-late-blight

a2b4ad10-1d16-4d31-baeb-d26fd2a03dc2___YLCV_GCREC 2708

ID: 121512449

Label: tomato-yellow-leaf-curl-virus

c7c2e116-d4da-4b0f-a2dc-24d3ecedf587___Keller.St_CG 1846

ID: 121525253

Label: tomato-leaf-spot

79f7f0e7-f4c8-4cf4-9c5d-2c4c4675fc04___PSU_CG 2147_180deg

ID: 121510517

Label: tomato-mosaic-virus

1f200e50-7cb5-4a83-8ecd-dcf133f1f45e___GHLB2 Leaf 8991_flipLR

ID: 121519711

Label: tomato-late-blight

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

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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	84,422
No. of clones	39