The Image Emotions Recognition API is a powerful tool that utilizes the latest advances in artificial intelligence to identify and interpret the emotions conveyed in an image. By simply providing a public image URL, this API can detect and recognize the emotions conveyed through facial expressions, body language, and other visual cues.
The Image Emotions Recognition API can also be used in market research to gather valuable insights about consumer sentiment. By analyzing images shared on social media, this API can provide valuable data on how consumers are feeling about a particular product or service. This information can be used to make data-driven decisions about product development, marketing strategies, and more.
The API is also useful in the field of healthcare, where it can be used to monitor patients' emotions and provide personalized care. For instance, by analyzing images of patients' facial expressions, healthcare providers can better understand their emotional state and tailor their care accordingly.
Overall, the Image Emotions Recognition API is a versatile and powerful tool that can provide valuable insights across a wide range of applications. Whether you're in marketing, healthcare, or any other field that requires understanding human emotions, this API is an invaluable resource.
It will receive a parameter and provide you with a JSON.
10 Request Per Second On Every Plan.
By simply providing a public image URL, this endpoint can detect and recognize the emotions conveyed through facial expressions, body language, and other visual cues.
The Request Body Must Be:
Object | Description |
---|---|
Request Body |
[Required] Json |
{"sentiment": "negative", "sentiment_score": "-0.20609183609485626"}
curl --location --request POST 'https://zylalabs.com/api/1952/image+emotions+recognition+api/1690/emotions+recognition' --header 'Authorization: Bearer YOUR_API_KEY'
After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Image Emotions Recognition API REST API, simply include your bearer token in the Authorization header.
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
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Service Level:
100%
Response Time:
1,245ms
Service Level:
50%
Response Time:
3,601ms