This model is used to classify a variety of images and contains thousands of labels. You can classify an image against this model just as you would a custom model; but instead of using the modelId of the custom model, you specify a modelId of GeneralImageClassifier. For the list of classes this model contains, see General Image Model Class List.
This cURL command makes a prediction against the general image model.
curl -X POST -H "Authorization: Bearer <TOKEN>" -H "Cache-Control: no-cache" -H "Content-Type: multipart/form-data" -F "sampleLocation=https://einstein.ai/images/generalimage.jpg" -F "modelId=GeneralImageClassifier" https://api.einstein.ai/v2/vision/predictThe model returns a result similar to the following for the tree frog image referenced by http://einstein.ai/images/generalimage.jpg.
{
"probabilities": [
{
"label": "tree frog, tree-frog",
"probability": 0.7963114976882935
},
{
"label": "tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
"probability": 0.1978749930858612
},
{
"label": "banded gecko",
"probability": 0.001511271228082478
},
{
"label": "African chameleon, Chamaeleo chamaeleon",
"probability": 0.0013212867779657245
},
{
"label": "bullfrog, Rana catesbeiana",
"probability": 0.0011536618694663048
}
],
"object": "predictresponse"
}
Updated about a year ago