Sentence examples for material recognition results from inspiring English sources

Fig. 9 FOD material recognition results.

The results of the testing phase are provided in Table 4. Comparison of recognition results obtained on data for 1 20 July (learning material) and 21 31 July (testing material) shows that the recognition quality is about the same.

However, past research results remain inadequate to meet the demands of FOD material recognition.

The results show that the proposed approach can improve the accuracy of material recognition by 39.6% over the state-of-the-art method.

(b) Recognition results.

AlexNet has the best metallic material recognition.

The general material recognition dataset is not applicable to FOD material recognition.

The recognition results were utilized as the switching signals.

These are more suitable for studies on object recognition rather than material recognition.

Material recognition is a fundamental problem in computer vision.

However, these datasets are inappropriate for FOD material recognition tasks.