Nathaniel Felleke / Trash Image Detection Public

Target: Raspberry Pi 4 Clone this project

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Trash Image Detection

Images

About this project

Mapping Litter in Cities

Introduction

A prototype of a roadside litter detection device that maps trash in cities and helps locate pickup locations. Using an image recognition model made in Edge Impulse Studio, the device is able to classify whether images of the road contain trash or not. If there is trash, a Blues Wireless Notecard retrieves the GPS location and transmits the classification to the cloud.

Hackster.io Project

Data (972 items)

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other.0.trash2022-02-21 19_39_37.247589.jpg.2scjel9p.ingestion-6d7d974b87-gnwvm.jpg.2tsis0rq.ingestion-74c6f89698-5s449.jpg.2v11oik2.ingestion-74769d5668-8dszz

ID: 126158444

Label: other

other.20220313_175240_025.jpg.2uv15bv4.ingestion-5b667d97cc-rjs8m.jpg.2v11tgs4.ingestion-74769d5668-8dszz

ID: 126158272

Label: other

other.0.other. (t) (39) (Custom) (Custom).jpg.2rgo2vqr.ingestion-7ff785c5f7-9nl7x.jpg.2sca2ojq.ingestion-6d7d974b87-87rvb.jpg.2tsir862.ingestion-74c6f89698-sbqhj.jpg.2v11nr4b.ingestion-74769d5668-b2956

ID: 126158686

Label: other

other.20220313_165722.jpg.2uv13fn9.ingestion-5b667d97cc-lrrsr.jpg.2v11t5rc.ingestion-74769d5668-vcfqz

ID: 126158299

Label: other

other.0.unknown.2tkm26ro.ingestion-689c95b9d6-dnvqx.jpg.2tsisc2l.ingestion-74c6f89698-5s449.jpg.2v11opk6.ingestion-74769d5668-vcfqz

ID: 126158348

Label: other

trash.20220313_164018.jpg.2uv1b5nu.ingestion-5b667d97cc-mlkqr.jpg.2v11uvl7.ingestion-74769d5668-vcfqz

ID: 126158035

Label: trash

other.20220313_162530.jpg.2uv13kgc.ingestion-5b667d97cc-lrrsr.jpg.2v11rqb0.ingestion-74769d5668-b2956

ID: 126158322

Label: other

trash.1.a lot of trash. t (106) (Custom) (Custom).jpg.2rgnuihs.ingestion-7ff785c5f7-9nl7x.jpg.2sca1vug.ingestion-6d7d974b87-gnwvm.jpg.2tsist36.ingestion-74c6f89698-bbkcq.jpg.2v11ucbj.ingestion-74769d5668-b2956

ID: 126158165

Label: trash

Model accuracy (Unoptimized (float32))

Validation set

85.0%

Test set

87.5%

On-device performance (Raspberry Pi 4, Unoptimized (float32))

Latency

12 ms.

Flash usage

1.6M

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Dataset summary

Data collected

972 items

Labels

other, trash

Project info

Project ID	110140
Project version	4
License	No license attached
No. of views	71,955
No. of clones	28