0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessCustom object detection systems are essential for meeting the specialized requirements of diverse applications, including manufacturing and biomedical engineeri
Juan C. Peña, Raúl Vargas, Eberto Benjumea, Lenny A. Romero, Alberto Patino Vanegas, Andrés G. Marrugo (2024). Automatic Object Detection-and-Counting Method Using Single-Shot Self-Supervised Learning and 3D Sensing in Resource-Limited Environments. , pp. 1-5, DOI: 10.1109/eno-cancoa61307.2024.10751502.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2024
Authors
6
Datasets
0
Total Files
0
Language
English
DOI
10.1109/eno-cancoa61307.2024.10751502
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
