Products
Image Recognition
General v1 is a model trained to recognize everyday things around us.
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*APIs return json data, simillar to what is displayed in json tab. If you are using python client it would be response object.
more information on this can be found at Docs: Image Recognation
Top 3 results are returned, this setting can be changed to return anything from top 1-5 results.
You can also set a threshold confidence level, only results with confidence above the threshold will be returned.
Below is an example python code for image recognition.
Sample python client code:
Image Recognition
Artificial Intelligence with a Vision
General v1 is a model trained to recognize everyday things around us.
Enter an url of a publicly accessible image or click on the images on the right.
Enter image url:
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*APIs return json data, simillar to what is displayed in json tab. If you are using python client it would be response object.
more information on this can be found at Docs: Image Recognation
Top 3 results are returned, this setting can be changed to return anything from top 1-5 results.
You can also set a threshold confidence level, only results with confidence above the threshold will be returned.
Below is an example python code for image recognition.
Sample python client code:
from cognious import CogniousApp # Initialize application client app = CogniousApp('DKP3ADiCHVWO0NvuDg9XIpYgZAgKIXc73ZiPfBe2', 'i55x7kQWGc83u2fpKgMmyGCXaWDHYlk7kS986a6e') # Get the model you want to use # models.get function returns an instance of the model model = app.models.get('ImageRecognition') # Use the available methods to make a prediction # predict_by_url(<image_url>) model.predict_by_url('https://upload.wikimedia.org/wikipedia/commons/2/21/Golden_Retriever_Adolescent.jpg') # model.response contains the response print(model.response) # { # 'success': True, # 'result': { # 'prediction': [ # {'confidence': '0.679696', 'answer': 'golden_retriever'}, # {'confidence': '0.317834', 'answer': 'Labrador_retriever'}, # {'confidence': '0.00169803', 'answer': 'kuvasz'} # ] # } # } # # model.result contains the result portion of the response