How does the performance of SVM HOG detection vary in controlled environments compared to uncontrolled environments?
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The performance of SVM HOG detection varies between controlled and uncontrolled environments. In controlled environments, such as detecting impurities in bottled Baijiu , the SVM HOG method shows high accuracy, with a low false detection rate and a speed five times faster than manual inspection. Similarly, in the case of fire detection using HOG and SVM , the method achieved an accuracy of 88.33% in identifying fire objects. On the other hand, in uncontrolled environments like offshore oil spill detection using HOG and SVM , the method demonstrated a recognition accuracy of 91.3% for identifying oil spills at sea. This indicates that SVM HOG detection performs effectively in both controlled and uncontrolled environments, showcasing adaptability and reliability across different scenarios.
Answers from top 5 papers
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| Papers (5) | Insight |
|---|---|
| SVM HOG detection shows 91.3% accuracy in small infrared oil spill samples, outperforming BP and LBP-SVM methods, with faster training, suitable for all-weather offshore oil spill detection. | |
18 Sep 2021 | Not addressed in the paper. |
| The SVM HOG detection method performs better in controlled environments for impurity detection in Chinese liquor, with a low missed rate and false detection rate compared to uncontrolled environments. | |
28 Sep 2022 | Not addressed in the paper. |
28 Sep 2022 | Not addressed in the paper. |
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