Comparison of Faster R-CNN and YOLOv5 for Overlapping Objects Recognition
Classifying an overlapping object is one of the main challenges faced by researchers who work in object detection and recognition. Most of the available algorithms that have been developed are only able to classify or recognize objects which are either individually separated from each other or a si...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
College of Science for Women, University of Baghdad
2023-06-01
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| Series: | Baghdad Science Journal |
| Subjects: | |
| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7243 |