Work

Performance Comparison of YOLOv5, YOLOv8, and RCNN for Waste Detection and Classification

Year: 2024

Type: conference-paper

DOI: 10.1109/incitest64888.2024.11121509

Authors: Indra Hermawan, Rezkytadewi Puspita, Anita Hidayati, Iklima Ernis Ismail, Anggi Mardiyono, Fachroni Arbi Murad

Institution: Jakarta State Polytechnic

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: closed

Funder: Kementerian Pendidikan

OpenAlex ID: W4413319391

FWCI:

Cites: 13

Cited by:

Related to: 10