Test Paper Star app

Test Paper Star app has become one of the indispensable learning tools for students and teachers. In addition to providing basic functions such as test paper downloads, real questions, and simulation questions, there is also a very practical function, which is image recognition.

Software features

1. By identifying objects or scenes in pictures, it can help users find more content related to the item;

2. There are various question types in the test paper, and some involve picture translation. At this time, the image recognition function can come into play;

3. Automatically identify the question type and content of the test paper through visual technology, making it easier for users to find answers to the corresponding test questions more quickly.

Software Highlights

1. The image recognition function can identify hundreds of common animals, such as: dogs, cats, tigers, etc.;

2. If the user needs to find related picture resources of a certain animal, he can quickly find the corresponding picture through the app's image recognition function;

3. Users only need to take or upload a picture of an animal, and the system can quickly provide the name, introduction, characteristics and other relevant information of the animal.

Software function

1. The image recognition function can also identify hundreds of common plants, such as flowers, trees, vegetables, etc.;

2. Users only need to take or upload a picture of a flower, and the system can quickly give the name of the flower;

3. No matter what kind of object or scene the user needs to identify, as long as he uploads a corresponding picture, everything becomes simple and clear.

Editor's comments

1. Match the images you captured with its built-in database to find relevant information quickly and accurately;

2. Identify the test paper you want to query and provide you with relevant information about the test paper, including the unit that issued the question and the type of test paper;

3. Quickly identify the photos you took and provide you with relevant information, such as name, ecological habits, growth environment and distribution area.