Identify photo exposure level
using AI
Below is a free classifier to identify photo exposure level. Just upload your image, and our AI will predict the exposure level of your photo - 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("photo-exposure-level", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/photo-exposure-level/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/photo-exposure-level/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the exposure level of your photo.
This pretrained image model uses a Nyckel-created dataset and has 9 labels, including Badly Exposed, Overexposed, Proper, Severely Overexposed, Severely Underexposed, Slightly Overexposed, Slightly Underexposed, Underexposed and Well Exposed.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the exposure level of your photo).
Whether you're just curious or building photo exposure level detection into your application, we hope our classifier proves helpful.
Need to identify photo exposure level at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Automated Photo Quality Assessment: Businesses in the photography sector can use the photo exposure level identifier to automatically evaluate the quality of submitted images. By flagging photos that are improperly exposed, companies can streamline their editing process and provide feedback to clients more quickly.
- Social Media Content Optimization: Digital marketers can leverage this function to assess the exposure levels of images before they are posted online. By ensuring only well-exposed images are shared, brands can enhance their social media presence and engagement with visually appealing content.
- E-commerce Product Image Evaluation: E-commerce platforms can implement this tool to ensure that product images meet specific exposure standards before they go live on the website. Properly exposed images can lead to higher conversion rates and reduce the likelihood of returns due to misrepresentation.
- Photography Tutorial Platforms: Educational platforms focused on photography can utilize this function to help students learn about image exposure. By analyzing their submissions, students receive targeted feedback, allowing them to improve their skills based on data-driven insights.
- Television and Film Production: Production companies can use the identifier to analyze stills from scenes to ensure proper exposure settings. This review can assist cinematographers in maintaining visual consistency throughout their projects.
- Stock Photo Agencies: Stock photo platforms can integrate this function to assess and categorize submitted images based on their exposure levels. This automation can help in curating high-quality content for clients, improving customer satisfaction and retention.
- Mobile App Development for Amateur Photographers: Developers can create a mobile application that provides real-time feedback about photo exposure levels during capture. This feature can guide novice photographers to take better pictures, potentially increasing app usage and user engagement in the photography community.