Object Detection Using Image Processing with Python |
Author(s): |
| Shantanu Rajesh Ashtankar , G.H.Raisoni college of engineering , nagpur; Sahil Sendre, G.H.Raisoni college of engineering , nagpur; Shivam Wankhade, G.H.Raisoni college of engineering , nagpur; Sonali Guhe, G.H.Raisoni college of engineering , nagpur |
Keywords: |
| Object Detection, Computer Vision, Deep Learning, Feature-Based Methods, Evaluation Metrics |
Abstract |
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The key task of object detection in computer vision is to detect and recognize features in images. In recent years, the development of object detection algorithms has made great progress and methods based on deep learning have produced state of the art results. This work describes many object detection methods, including traditional feature-based methods and deep learning-based methods. We cover object detection problems, including occlusion, scaling, and warping of objects, and methods to solve them. We also review some well-known object recognition datasets and benchmarks to determine the performance of object detection algorithms. Finally, we discuss some current trends and potential future avenues in object detection research. |
Other Details |
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Paper ID: IJSRDV11I10110 Published in: Volume : 11, Issue : 1 Publication Date: 01/04/2023 Page(s): 90-91 |
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