Built-in Image Processing Mode¶
Input¶
The built-in image processing input and output mode can be applied to models such as image classification, object detection, and image semantic segmentation. The prediction request path is /, the request protocol is HTTPS, the request method is POST, Content-Type is multipart/form-data, key is images, and type is file. Before selecting this mode, ensure that your model can process the input data whose key is images.
Output¶
The inference result is returned in JSON format. The specific fields are determined by the model.
Sample Request¶
In this mode, input an image to be processed in the inference request. The response in JSON format varies according to the model. The following are examples:
Performing prediction on the console
Using Postman to call a RESTful API for prediction
After a model is deployed as a service, you can obtain the API URL on the Usage Guides tab page of the service details page. On the Body tab page, set the request body. Set key to images, select File, select the image to be processed, and click send to send your prediction request.