What is Logo Detection API?
Logo detection API, also called Logo Recognition API, helps creators put logo detection abilities into their software, websites, or apps. It can automatically identify and analyze logos in videos or images and provide details like logo position, confidence ratings, and additional metadata if possible. Valuable for keeping an eye on your brand, studying marketing data, and checking content, logo detection APIs apply computer science techniques to detect and monitor your logos online.
These automated tools use machine learning and computer vision algorithms to quickly and accurately recognize and track your logos across different media sources. By using this service, businesses can oversee their brand without any hassle.
Top Open Source (Free) Logo Detection models on the market
For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of the best Logo Detection Open Source Models:
1. YOLOv2
This open source model can be used for logo detection in images.
2. DeepLogo2
DETR is a Transformer-based object detection model published by Facebook AI in 2020. DeepLogo2 is a brand logo detection system using DETR.
3. Detectron 2
Detectron2 is Facebook AI Research's next-generation library that provides state-of-the-art detection and segmentation algorithms. It is the successor of Detectron and maskrcnn-benchmark. It supports a number of computer vision research projects and production applications on Facebook. This can also be used for logo detection.
3. TensorFlow
TensorFlow Object Detection API provides pre-trained models for object detection, and you can fine-tune them on your specific task, such as logo detection.
4. OpenCV
OpenCV is a computer vision library that includes tools for image processing. You can use it along with other frameworks for building a logo detection system.
5. MXNet
MXNet is an open-source deep learning framework. It provides tools for building and training models, and you can find models and implementations for logo detection using MXNet.
Cons of Using Open Source AI models
While open source models offer many advantages, they also come with some potential drawbacks and challenges. Here are some cons of using open source models:
Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear expenses related to hosting and server usage, especially when dealing with large or resource-intensive data sets.
Lack of Support: Open source models may not have official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
Limited Documentation: Some open source models may have incomplete or poorly maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
Security Concerns: Security vulnerabilities can exist in open source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open source models may need to monitor for security updates and patches actively.
Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.
Why choose Eden AI?
Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.
Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.
To get started, we offer free $10 credits for you to explore our APIs.
Access Logo Detection providers with one API
Our standardized API enables you to integrate Object Detection APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):
api4ai
Clarifai
Google Cloud
Microsoft Azure
Smartclick
1. api4ai- Available on Eden AI
api4ai offers a Brand Recognition API, an off-the-shelf solution for logo recognition of renowned brands. The API deploys a robust algorithm that can identify familiar logos even in difficult conditions such as inadequate lighting, rotation, and minor distortions. Once logos are detected, the API presents the most likely brand in the image along with a confidence level value.
2. Clarifai- Available on Eden AI
Clarifai's API for detecting logos provides a precise and adaptable solution for identifying logos in images. By utilizing deep learning models and computer vision techniques, the API can detect more than 6,500 logos from critical brands and customer requests.
3. Google Cloud- Available on Eden AI
Google Cloud Vision provides a Logo Detection API capable of identifying well-known logos and trademarks. This API can detect logos in images and videos, providing data about their location, size, and orientation. It is noteworthy that the API can identify logos that are partially obscured, tilted, or at an angle.
4. Microsoft Azure- Available on Eden AI
Microsoft Azure's Computer Vision provides a Logo Detection API that can identify well-known logos and trademarks within images. The API furnishes information on logo position, dimensions, and orientation. Furthermore, Microsoft Azure’s API stands out in detecting logos in various images, even those with low-quality or inadequate lighting.
5. Smartclick- Available on Eden AI
Smartclick offers sophisticated technology that effortlessly recognizes and locates logos. Its system is founded on an extensive range of brand logo images (200+ real-life brand logo categories), which enables the API to recognize widespread brand logos in images, videos, and GIFs.
Pricing Structure for Logo Detection API Providers
Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for November 2023, as well as you can get discounts for potentially large volumes.
Check the current prices on Eden AI
How Eden AI can help you?
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
Centralized and fully monitored billing on Eden AI for Logo Detection APIs
Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.
You can see Eden AI documentation here.
Next step in your project
The Eden AI team can help you with your Object Detection integration project. This can be done by :
Organizing a product demo and a discussion to understand your needs better. You can book a time slot on this link: Contact
By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
Having the possibility to integrate on a third-party platform: we can quickly develop connectors.