Identify atmospheric tone type
using AI
Below is a free classifier to identify atmospheric tone type. Just upload your image, and our AI will predict the type of atmospheric tone present in the image - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("atmospheric-tone-type", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/atmospheric-tone-type/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/atmospheric-tone-type/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of atmospheric tone present in the image.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Bright, Calm, Cheerful, Dark, Dynamic, Energetic, Gloomy, Harsh, Intense and Joyful.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of atmospheric tone present in the image).
Whether you're just curious or building atmospheric tone type detection into your application, we hope our classifier proves helpful.
Related Classifiers
Need to identify atmospheric tone type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Content Moderation: This function can be utilized by social media platforms to automatically identify and flag images that may exhibit false atmospheric tones. By classifying images based on their tone, platforms can better manage misleading content and maintain a safer user environment.
- Digital Marketing Optimization: Marketing agencies can employ this classification function to analyze the atmospheric tone of images used in campaigns. By understanding how image tone affects audience engagement, they can refine their visual content strategies to enhance user response and brand perception.
- E-commerce Enhancement: Online retailers can leverage this image classification to improve product catalog aesthetics. By ensuring that product images possess the appropriate atmospheric tone that aligns with their brand identity, they can drive higher conversion rates and foster a more appealing shopping experience.
- Artistic Curation: Art galleries and online platforms can use this function for curating collections that fit specific atmospheric themes. By classifying and grouping artwork based on tonal attributes, curators can create more targeted exhibitions that resonate with audiences and enhance viewer engagement.
- Photography Analytics: Professional photographers can apply this tool to analyze their portfolios for atmospheric tone consistency. By identifying trends and variations in tone across their work, photographers can refine their style and make more informed decisions in their future projects.
- Public Health Campaigns: Public health organizations can implement this function to assess the tone of imagery in health-related campaigns. By ensuring that visuals convey appropriate atmospheric tones, they can enhance public perception and support for essential health messages.
- Social Sentiment Analysis: Businesses can utilize the atmospheric tone classification in analyzing images shared on social media regarding their brand. By correlating emotional responses to images with varying atmospheric tones, companies can gain insights into public sentiment and adjust their marketing strategies effectively.