Object Detection - Image Analysis
Instructions for use
Object detection is based on deep learning neural network models, which automatically determine and recognize the category and location of objects in an image. It can detect multiple categories of objects simultaneously and outputs the results in XML format, recording each object's category, location, and confidence level. The object detection function is characterized by fast detection speed and high accuracy.
Parameter Description
| Parameter name | Default | Parameter description | Parameter Type |
|---|---|---|---|
| Source data path | Specify the folder path of the image to be detected | String | |
| Model File | Specify Model File (*.sdm) for Picture Object Detection | String | |
| Probability Threshold | 0.5 | The system will calculate the probability of meeting the target characteristics for each detected object, and then Detection resultOnly saving objects with a score above this value. The default value is 0.5. | Double |
| Other Parameter Settings (Optional) |
false | Check this box to set the Deduplicate Threshold | Boolean |
| Result File Path | The path where the specified result file is saved | Datasource | |
| Result file name | Specified Result File Name | String |
Output Result
| Parameter name | Parameter description | Parameter Type |
|---|---|---|
| Result Dataset | Result Dataset | DatasetVector |