Identify ride sharing by logo
using AI
Below is a free classifier to identify ride sharing by logo. Just upload your image, and our AI will predict which ride-sharing service the logo represents - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("ride-sharing-by-logo", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/ride-sharing-by-logo/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/ride-sharing-by-logo/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict which ride-sharing service the logo represents.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Air Taxi, Beber, Bolt, Cabify, Careem, Didi, Gett, Gojek, Grab and Lyft.
We'll also show a confidence score (the higher the number, the more confident the AI model is around which ride-sharing service the logo represents).
Whether you're just curious or building ride sharing by logo detection into your application, we hope our classifier proves helpful.
Need to identify ride sharing by logo at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Brand Monitoring: This use case involves monitoring the presence of ride-sharing logos in real-time across various digital platforms. Companies can leverage this image classification function to track brand visibility, identify unauthorized use of their logos, and analyze competitor branding strategies.
- Advertising Optimization: Marketers can utilize the logo identifier to measure the effectiveness of ride-sharing advertisements in different environments. By analyzing the context in which these logos appear, businesses can optimize their ad placements and improve campaign performance.
- Demand Forecasting: Ride-sharing companies can use this function to assess the popularity of their brand logos in different regions. By analyzing the frequency of logo sightings, they can forecast demand in specific areas and allocate resources more efficiently.
- Customer Engagement Analysis: By identifying the presence of logos in social media images shared by users, companies can gain insights into customer engagement and sentiment. This data can inform marketing strategies and help enhance customer relationship management.
- Event Sponsorship Evaluation: Organizations sponsoring events can use the logo identifier to evaluate the visibility of their logos in event-related imagery. This analysis can help assess the return on investment (ROI) of sponsorship deals and refine future sponsorship strategies.
- Fleet Management: Ride-sharing companies can implement this image classification function to monitor their vehicle fleet in real-time. By identifying logos on vehicles, they can ensure compliance with branding guidelines and track the distribution of their fleet across various locations.
- Fraud Detection: The logo identifier can be employed to detect fraudulent activities such as counterfeit ride-sharing services using similar logos. By verifying the legitimacy of the logos in use, companies can protect their brand integrity and mitigate the risks of impersonation.