Now, click on Send and we should see something like this in Postman:
The response you have received should look something like this:
// SNIPP SNIPP
{
"responses": [
{
"labelAnnotations": [
{
"mid": "/m/01bqvp",
"description": "sky",
"score": 0.9560901,
"topicality": 0.9560901
},
{
"mid": "/m/01b2w5",
"description": "sunset",
"score": 0.87674785,
"topicality": 0.87674785
},
{
"mid": "/m/06npx",
"description": "sea",
"score": 0.8571267,
"topicality": 0.8571267
},
{
"mid": "/m/01b2q6",
"description": "sunrise",
"score": 0.85168016,
"topicality": 0.85168016
},
{
"mid": "/m/0ds99lh",
"description": "fun",
"score": 0.791407,
"topicality": 0.791407
},
{
"mid": "/m/04mx32",
"description": "evening",
"score": 0.78113675,
"topicality": 0.78113675
},
{
"mid": "/m/06m_p",
"description": "sun",
"score": 0.7784385,
"topicality": 0.7784385
},
{
"mid": "/m/03thgk",
"description": "silhouette",
"score": 0.77650154,
"topicality": 0.77650154
},
{
"mid": "/m/0csby",
"description": "cloud",
"score": 0.77203345,
"topicality": 0.77203345
},
{
"mid": "/m/06z0n",
"description": "sunlight",
"score": 0.6308233,
"topicality": 0.6308233
}]
}]
}
// SNIPP SNIPP
Most of the key components of the image are present, and the score indicates the confidence level of the prediction. You can read more about the properties of the response object here: https://cloud.google.com/vision/docs/reference/rest/v1/images/annotate#EntityAnnotation. Next, we are going to look at safe search detection.