Identify ad seasonality by image
using AI
Below is a free classifier to identify ad seasonality by image. Just upload your image, and our AI will predict what seasonal theme the image represents - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("ad-seasonality-by-image", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/ad-seasonality-by-image/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/ad-seasonality-by-image/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what seasonal theme the image represents.
This pretrained image model uses a Nyckel-created dataset and has 31 labels, including Autumn Harvest, Back-To-School, Beach Season, Black Friday, Carnival Season, Christmas, Cyber Monday, Earth Day, Easter and Fall.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what seasonal theme the image represents).
Whether you're just curious or building ad seasonality by image detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify ad seasonality by image at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Seasonal Marketing Optimization: This function can analyze images from past advertising campaigns to identify seasonal trends. By categorizing images based on seasonal relevance, businesses can tailor their marketing strategies to maximize engagement and conversion rates during peak periods.
- Trend Analysis for Product Development: Companies can utilize this identifier to assess which seasonal themes resonate most with their audience. By classifying images according to seasonal appeal, businesses can steer their product development efforts in alignment with consumer preferences, enhancing competitive advantage.
- Social Media Content Planning: Brands can leverage the function to curate seasonal content for social media platforms. By identifying trending seasonal imagery, businesses can create a content calendar that aligns with consumer interests, fostering more engagement and shares.
- Inventory Management: Retailers can use image classification to forecast seasonal demand for products. By analyzing images from previous seasons, businesses can predict inventory needs more accurately, reducing overstock and stockouts during critical sales periods.
- Advertising Budget Allocation: This function can help marketers understand which seasonal imagery drives the best performance in campaigns. By classifying images by seasonality, companies can optimize their advertising budgets by investing more in high-performing seasonal ad creatives.
- Competitor Benchmarking: Businesses can analyze competitors’ seasonal advertising images to gain insights into market positioning. By assessing the seasonal relevance of competitor campaigns, companies can adjust their strategies to better differentiate their brand and capitalize on market gaps.
- Personalized Customer Experiences: E-commerce platforms can implement this identifier to customize user experiences based on seasonal trends. By analyzing user engagement with seasonal imagery, businesses can offer personalized product recommendations, increasing customer satisfaction and loyalty.