Identify color grading level
using AI
Below is a free classifier to identify color grading level. Just upload your image, and our AI will predict the color grading level of 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("color-grading-level", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/color-grading-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/color-grading-level/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the color grading level of the image..
This pretrained image model uses a Nyckel-created dataset and has 5 labels, including Advanced, Basic, Intermediate, None and Professional.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the color grading level of the image.).
Whether you're just curious or building color grading level detection into your application, we hope our classifier proves helpful.
Need to identify color grading level at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Film Production Quality Control: Implement the function to assess the color grading levels of films during production. By identifying inconsistencies in color grading, filmmakers can ensure a uniform aesthetic throughout the project before final edits, enhancing the overall quality of the production.
- Digital Marketing Asset Review: Utilize the function for evaluating marketing images across campaigns to ensure they adhere to brand color standards. This can help marketers maintain consistency in their brand imaging and improve audience recognition and engagement.
- Photography Portfolio Management: Use the function to organize and categorize a photographer's portfolio based on color grading levels. This enables clients to quickly find images that fit their desired aesthetic, improving the overall customer experience and potential sales.
- E-commerce Product Display Optimization: Leverage the function to analyze product images for proper color representation before listing them on e-commerce platforms. Accurate color grading can reduce returns and increase customer satisfaction by ensuring products look as expected.
- Virtual Reality Environment Design: Apply the function in virtual reality (VR) settings to ensure the color grading of 3D environments remains consistent across various scenes. This feature can enhance user immersion and satisfaction in VR experiences.
- Art Gallery Digital Exhibit Curation: Use the function in art galleries to classify and curate digital exhibitions based on color grading levels of artwork. This can help curators create cohesive visual experiences for viewers, enhancing the presentation of the art pieces.
- Social Media Content Monitoring: Implement the function for brands to monitor and evaluate user-generated content on social media that features their products. Analyzing the color grading can help in assessing brand alignment, customer engagement, and the overall effectiveness of campaigns.