Object Detection with Deep Learning
Abstract: Object detection has been a significant research hotspot and an extensively utilized problem in computer vision during the past 20 years. In a given image, it seeks to rapidly and precisely detect and locate a large number of items according to predetermined categories. The algorithms may be split into two categories based on the model training method: single - stage detection algorithms and two - stage detection algorithms. The typical algorithms for each level are thoroughly introduced in this work. Then, numerous typical techniques are examined and contrasted in this area while public and special datasets that are frequently utilized in target detection are introduced. The probable difficulties in target detection are therefore anticipated.
Keywords: Deep Learning, Object Detection, Neural Network
How to Cite?: Yash Bhadiyadra, "Object Detection with Deep Learning", Volume 12 Issue 7, July 2023, International Journal of Science and Research (IJSR), Pages: 1300-1304, https://www.ijsr.net/getabstract.php?paperid=MR23717204529, DOI: https://dx.doi.org/10.21275/MR23717204529