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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trash.1.a lot of trash. t (71) (Custom) (Custom).jpg.2rgnt95n.ingestion-7ff785c5f7-9nl7x.jpg.2sca1s1b.ingestion-6d7d974b87-gnwvm.jpg.2tsisolj.ingestion-74c6f89698-sbqhj.jpg.2v11u7sl.ingestion-74769d5668-b2956

ID: 126158196

Label: trash

trash.1.a lot of trash.trash2022-02-21 20_14_12.516898 (Custom).jpg.2sc1al6f.ingestion-6d7d974b87-87rvb.jpg.2sca2ehb.ingestion-6d7d974b87-gnwvm.jpg.2tsitbt7.ingestion-74c6f89698-5s449.jpg.2v11upq0.ingestion-74769d5668-8dszz

ID: 126158076

Label: trash

trash.1.a lot of trash. t (31) (Custom) (Custom).jpg.2rgnsf00.ingestion-7ff785c5f7-v86xc.jpg.2sca1ljg.ingestion-6d7d974b87-m29kc.jpg.2tsiskt5.ingestion-74c6f89698-5s449.jpg.2v11tsk6.ingestion-74769d5668-vcfqz

ID: 126158233

Label: trash

trash.1.a lot of trash.trash2022-02-21 20_16_49.338859 (Custom).jpg.2sc1amdo.ingestion-6d7d974b87-m29kc.jpg.2sca2fn2.ingestion-6d7d974b87-gnwvm.jpg.2tsitcrt.ingestion-74c6f89698-5s449.jpg.2v11uqlp.ingestion-74769d5668-b2956

ID: 126158064

Label: trash

other.0.other. (4) (Custom).jpg.2rgo1b0t.ingestion-7ff785c5f7-v86xc.jpg.2sca2hav.ingestion-6d7d974b87-gnwvm.jpg.2tsiquo2.ingestion-74c6f89698-sbqhj.jpg.2v11nfc4.ingestion-74769d5668-8dszz

ID: 126158700

Label: other

trash.1.a lot of trash. t (62) (Custom) (Custom).jpg.2rgnt7dj.ingestion-7ff785c5f7-v86xc.jpg.2sca1pum.ingestion-6d7d974b87-m29kc.jpg.2tsispi0.ingestion-74c6f89698-bbkcq.jpg.2v11u6ic.ingestion-74769d5668-8dszz

ID: 126158202

Label: trash

other.0.trash2022-02-21 19_05_43.604328.jpg.2sclrkbj.ingestion-6d7d974b87-m29kc.jpg.2tsirrsp.ingestion-74c6f89698-bbkcq.jpg.2v11ogvr.ingestion-74769d5668-b2956

ID: 126158473

Label: other

trash.1.a lot of trash. (39) (Custom) (Custom).jpg.2rgnqv9f.ingestion-7ff785c5f7-l5bb6.jpg.2sca1f7u.ingestion-6d7d974b87-m29kc.jpg.2tsishdd.ingestion-74c6f89698-bbkcq.jpg.2v11tjvt.ingestion-74769d5668-8dszz

ID: 126158261

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	75,446
No. of clones	29