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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f63f3650-9f84-45f9-898b-a6adef0294a3___RS_Erly.B 8419_180deg

ID: 121519402

Label: tomato-early-blight

fc089812-4537-413d-bade-e028fe9edac4___Com.G_TgS_FL 8255

ID: 121509930

Label: tomato-target-spot

74241a47-7b5c-4e56-b63a-3cb954ab5d8d___UF.GRC_YLCV_Lab 02580

ID: 121511894

Label: tomato-yellow-leaf-curl-virus

77bd1b85-eaed-41f8-97b0-d6e91b6f953d___RS_Erly.B 8212

ID: 121517891

Label: tomato-early-blight

fc38942e-e609-41a2-970c-cc1a67b16fe2___RS_Erly.B 7793_flipTB

ID: 121519448

Label: tomato-early-blight

e5266d06-0ba7-49c6-9bc6-c8351b56fc88___RS_Erly.B 8294_flipTB

ID: 121519332

Label: tomato-early-blight

1fef7bcc-bdc0-45dc-a8e6-1c9ee855a675___Com.G_TgS_FL 9950_180deg

ID: 121508420

Label: tomato-target-spot

fddf2531-e2d5-4e98-8b8d-725088227b66___Com.G_SpM_FL 1565

ID: 121526850

Label: tomato-spider-mites

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	80,786
No. of clones	34