Image Labeling API makes it easy to extract labels/tags from your images and detect for specific content out-of-the-box. Our pre-trained models enable you to analyze images for objects, colors, food, explicit content and other subjects for insights into your visual content.
We use deep learning algorithms to analyze images for scenes, objects, and other content. The response includes keywords that provide information about the content.
Example
Photo by Annie Spratt on Unsplash
cURL command to analyze this photo for labeling is:
curl --request GET \ --url 'https://api.apilayer.com/image_labeling/url?url=IMAGE PATH' \ --header 'apikey: YOUR API KEY'
Response for this call is:
[
{
"label": "pantry",
"confidence": 0.793
},
{
"label": "room",
"confidence": 0.793
},
{
"label": "light brown color",
"confidence": 0.642
},
{
"label": "beige color",
"confidence": 0.6
},
{
"label": "utensil",
"confidence": 0.592
},
{
"label": "shelf",
"confidence": 0.511
},
{
"label": "support",
"confidence": 0.511
}
]
