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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Baghdad, College of Science for Women
2023-06-01
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| Series: | مجلة بغداد للعلوم |
| Subjects: | |
| Online Access: | https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/7243 |
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