<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Identifying similar objects is one of the most challenging tasks in computer vision image recognition. The following musical instruments will be recognized in this study: French horn, harp, recorder, bassoon, cello, clarinet, erhu, guitar saxophone, trumpet, and violin. Numerous musical instruments are identical in size, form, and sound. Further, our works combine Resnet 50 with Spatial Pyramid Pooling (SPP) to identify musical instruments that are similar to one another. Next, the Resnet 50 and Resnet 50 SPP model evaluation performance includes the Floating-Point Operations (FLOPS), detection time, mAP, and IoU. Our work can increase the detection performance of musical instruments similar to one another. The method we propose, Resnet 50 SPP, shows the highest average accuracy of 84.64% compared to the results of previous studies.</p>
</abstract>

Identifying similar objects is one of the most challenging tasks in computer vision image recognition. The following musical instruments will be recognized in this study: French horn, harp, recorder, bassoon, cello, clarinet, erhu, guitar saxophone, trumpet, and violin. Numerous musical instruments are identical in size, form, and sound. Further, our works combine Resnet 50 with Spatial Pyramid Pooling (SPP) to identify musical instruments that are similar to one another. Next, the Resnet 50 and Resnet 50 SPP model evaluation performance includes the Floating-Point Operations (FLOPS), detection time, mAP, and IoU. Our work can increase the detection performance of musical instruments similar to one another. The method we propose, Resnet 50 SPP, shows the highest average accuracy of 84.64% compared to the results of previous studies.

Combination of Resnet and Spatial Pyramid Pooling for Musical Instrument Identification

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Identifying similar objects is one of the most challenging tasks in computer vision image recognition. The following musical instruments will be recognized in...

Combination of Resnet and Spatial Pyramid Pooling for Musical Instrument Identification

Online veröffentlicht: 10. Apr. 2022

Seitenbereich: 104 - 116

Eingereicht: 16. Nov. 2021

Akzeptiert: 25. Feb. 2022

DOI: https://doi.org/10.2478/cait-2022-0007

Schlüsselwörter
Resnet 50, Resnet 50 SPP, spatial pyramid pooling, musical instruments, similar object

© 2022 Christine Dewi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Combination of Resnet and Spatial Pyramid Pooling for Musical Instrument Identification

Online veröffentlicht: 10. Apr. 2022

Seitenbereich: 104 - 116

Eingereicht: 16. Nov. 2021

Akzeptiert: 25. Feb. 2022

DOI: https://doi.org/10.2478/cait-2022-0007

SchlüsselwörterResnet 50, Resnet 50 SPP, spatial pyramid pooling, musical instruments, similar object

© 2022 Christine Dewi et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Resnet 50, Resnet 50 SPP, spatial pyramid pooling, musical instruments, similar object