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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5455c7dd-3208-49aa-b5f7-b1d76ad73959___PSU_CG 2122_newPixel25

ID: 121510318

Label: tomato-mosaic-virus

0a714292-45d6-483a-bbd0-2eab8fe72888___Com.G_SpM_FL 1496

ID: 121525573

Label: tomato-spider-mites

e626a672-48b8-490d-8314-a70ff37153f4___RS_Erly.B 7467_180deg

ID: 121518715

Label: tomato-early-blight

7a911998-4bc2-4949-93a1-050d7cedca01___Com.G_TgS_FL 0768

ID: 121509255

Label: tomato-target-spot

553d53a5-19f3-433e-9805-d3bf5a3804b1___RS_Erly.B 7580_flipTB

ID: 121517760

Label: tomato-early-blight

8a3a6a39-5774-4a98-a6a5-9544e425d418___Com.G_TgS_FL 8155

ID: 121509291

Label: tomato-target-spot

0d91db63-181b-4c3a-939b-181cc812e466___RS_HL 0308_flipTB

ID: 121514375

Label: tomato-healthy

63d32854-5b4d-44c6-9695-96e12812916e___Crnl_L.Mold 9076_flipTB

ID: 121522677

Label: tomato-leaf-mold

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	91,082
No. of clones	42