Identify dog interaction with owner
using AI
Below is a free classifier to identify dog interaction with owner. Just upload your image, and our AI will predict the type of interaction between the dog and its owner - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("dog-interaction-with-owner", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/dog-interaction-with-owner/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/dog-interaction-with-owner/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict the type of interaction between the dog and its owner.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Affectionate, Alert, Anxious, Bonded, Curious, Disinterested, Disobedient, Distant, Engaged and Exploring.
We'll also show a confidence score (the higher the number, the more confident the AI model is around the type of interaction between the dog and its owner).
Whether you're just curious or building dog interaction with owner detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify dog interaction with owner at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Pet Behaviour Analysis: This use case involves analyzing interactions between dogs and their owners to identify signs of healthy or problematic behaviors. By classifying images, pet trainers can tailor their training methods or tools to address specific issues based on a dog's engagement with its owner.
- Dog Adoption Screening: Animal shelters can utilize this function to assess potential matches between dogs and adopters. By analyzing images of the interaction between a dog and a prospective owner, shelters can gain insights into the compatibility and comfort levels, thereby ensuring better adoption outcomes.
- Social Media Engagement: Brands focused on pet products can leverage the classification function to identify content showcasing positive dog-owner interactions. This enables targeted marketing strategies by promoting user-generated content that highlights real-life use cases of their products or services.
- Health Monitoring for Pets: Veterinary clinics can utilize the image classification function to monitor dog health through their interactions with owners. Identifying changes in behavior captured through images could help detect early signs of distress or health issues that require attention.
- Owner Education Programs: Pet education platforms can incorporate this function to provide training resources based on the classified interactions between dogs and owners. By understanding the dynamics of these interactions, they can create tailored guidance and programs to educate owners on proper handling and care.
- Dog Training Efficacy Measurement: Dog trainers can use the image classifier to evaluate the effectiveness of their training methods by assessing interaction quality over time. By regularly analyzing images, trainers can refine their techniques based on observed changes in the behavior of dogs during interactions with their owners.
- Dog Event Planning: Organizers of dog-related events can utilize this function to gauge the quality of interactions during their events. By classifying images, they can ascertain participant engagement, identify areas for improvement, and enhance future event planning, ensuring a positive experience for both dogs and their owners.