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Welcome to Ximilar Help Center. What can we help you with? Find solutions by selecting a category that matches your question.
Which payment methods does Ximilar accept and how does the billing work?
Ximilar offers a monthly subscription plan and allows for separate purchases of API credit packs, both of which can be paid several ways.
Stripe is our primary service for secure credit or debit card (Visa, MasterCard, etc.) payments. Payments through Stripe are secure and encrypted. If you use Stripe or PayPal as your payment method, you can access your Stripe portal from your settings and manage your payment methods, change your card, and set your billing preferences.
PayPal is accepted for both subscription and one-time purchase payments on the Ximilar platform.
We accommodate payments via bank transfer by providing a monthly invoice that you can settle through your bank.
Business and Professional plan users are billed monthly, on the same recurring day. For instance, if you subscribe to a Business plan on April 13, your plan will renew and you will be billed each subsequent month on the 13th, until your subscription is canceled.
If you upgrade to a higher plan, you will be billed for it every month on the day you upgraded.
On your billing day, an invoice is automatically generated and emailed to you. You can also access your invoices in user settings.
In which fields does image recognition help?
Image recognition technology finds widespread application in diverse fields such as healthcare, retail, and security systems.
In healthcare, it aids in the interpretation of medical images, assisting clinicians in diagnosing diseases and identifying anomalies with greater precision. Read about some of our use cases here.
Similarly, in retail, image recognition streamlines checkout processes, and, together with visual search, enhances customer experience through personalized recommendations.
In security, it strengthens surveillance systems by enabling real-time monitoring, threat detection, and facial recognition.
This technology is also essential for autonomous vehicles, enabling them to perceive their surroundings through cameras and sensors, recognize objects, pedestrians, and road signs, and make real-time decisions for safe navigation.
Additionally, image recognition systems help in both research and applied sciences. For instance, in biological research, microscopy image analysis and wildlife conservation. It plays a crucial role in monitoring and protecting endangered species. It enables researchers and conservationists to analyze vast amounts of camera trap data efficiently, identifying and tracking individual animals, assessing population dynamics, and detecting potential threats such as poaching or habitat loss.
Image recognition aids satellite imagery analysis, especially in monitoring vegetation coverage crucial for sectors like insurance and agriculture. LAICA, by World From Space (WFS) and Ximilar, addresses this, using deep learning to merge satellite data for daily vegetation monitoring despite cloud cover challenges.
In social media, image recognition facilitates image tagging and content moderation.
What does Ximilar’s visual AI and Computer Vision Platform do?
Ximilar’s computer vision platform is a powerful tool for businesses that want to leverage the power of visual AI to automate image-processing workflows, improve customer experiences, and gain insights from visual data.
The platform can be used to train custom models for image recognition and object detection, allowing companies to automate quality control, defect detection, and object tracking. It is designed to be user-friendly, with a drag-and-drop interface that allows users to quickly build custom models without needing advanced technical knowledge.
Ximilar also provides pre-trained models that can be easily integrated into businesses’ workflows, making it easier for companies to start using visual AI technology.
How much does it cost to use Ximilar’s solutions and platform?
Both solutions created by Ximilar and the users of our platform consist of operations (e.g., “tagging one photo”). Each operation has a value in API credits (e.g., “tagging one photo” costs 1 credit). You can choose a pricing plan based on your monthly consumption of credits.
All available solutions, image-processing operations and their values in API credits are listed in our Pricing.
How does Ximilar protect user data on its platform?
Ximilar takes data privacy and security very seriously and has implemented a range of measures to protect user data. This includes encrypting data both at rest and in transit, limiting access to data based on user roles and permissions, and complying with relevant data protection regulations such as GDPR. See the recommended questions for details.
How Ximilar streamlines image processing tasks and reduces costs?
Ximilar’s systems significantly reduce image processing costs by automating repetitive tasks such as analyzing, tagging and sorting of images. This automation results in significant long-term savings, allowing for continuous 24/7 addition of new visual content without additional metadata.
We’re continually enhancing our platform, which enables us to both build services efficiently and quickly and also to modify existing solutions to suit your needs. We reduce costs and labour by utilizing a combination of pre-trained and new models.
Service use is billed via API credits, with a customizable monthly plan based on your consumption. Using our credit calculator helps you optimize cost-effectiveness. For sudden system loads, you can add extra credit packs to your monthly credit supply.
Once your solution is live, we can continually upgrade and enhance it, altering any component in the modular structure. Our feedback mechanisms help us understand which model performs best, allowing us to refine the solution. Also, our ready-to-use solutions are routinely updated to stay industry-relevant, and these upgrades come at no extra cost.
How does Ximilar approach privacy and data protection issues?
Ximilar prioritizes data security and confidentiality. Our customers particularly value the following rules:
Feel free to reach out with questions about ethical considerations regarding privacy and data protection.
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How does Visual Search help, and in which industries is it utilized?
Visual search is reshaping industries across the board:
Which types of images and formats does Ximilar support?
You can send images in these supported formats to our API (in fields of _base64 or _url): jpg, jpeg, png, webp, heic, bmp, tiff, and jfif. If you upload a gif, only the first frame will be processed. Contact us for customization.
Can you provide examples of Ximilar’s visual AI in action?
Ximilar’s visual AI and platform have been used by businesses across various industries to solve different problems, to name a few:
Ximilar’s computer vision platform is used by users and companies around the world to build custom and semi-custom image-processing solutions and integrate them into their websites, apps and systems. The platform can be used via App & API for:
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What industries use Ximilar’s visual AI and Computer Vision Platform?
Ximilar’s platform can be used across various industries, including e-commerce, fashion, retail, logistics, and security. For example, e-commerce businesses can use Ximilar’s visual AI to improve product recommendations and personalize the shopping experience for their customers.
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What resources are available for beginners using Ximilar’s visual AI and platform?
Ximilar provides a range of resources to help beginners get started with the Computer Vision Platform, including guides, video tutorials, documentation, and online support.
Ximilar also offers a Free plan that allows users to test the platform and see how it can be used in their workflows.
How is Ximilar’s visual AI and Computer Vision Platform different from others?
Ximilar’s visual AI and machine learning platform are designed to be user-friendly, with a drag-and-drop interface that allows users to quickly build custom AI models without needing advanced technical knowledge or coding skills.
Ximilar also provides pre-trained models that can be easily integrated into businesses’ workflows or into custom-built solutions, making it easier for companies to start using visual AI technology.
The solutions created on Ximilar’s computer vision platform can also be deployed offline and on edge devices. Read more in the recommended FAQs.
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Who has Ximilar partnered with in the visual AI and machine learning field?
Ximilar has partnered with a range of businesses and organizations in the visual AI and machine learning field, including Intel, NVIDIA, IBM, StockPhotos and AI Secrets.
Ximilar also participates in research projects in a collaboration with academic institutions and research organizations to advance the field of visual AI and machine learning.
Where does Ximilar’s Computer Vision Platform get its data?
The models built with Ximilar’s Computer Vision Platform can be trained on a variety of data sources, including public datasets, private datasets, and user-generated content. You can use your own database to train or upgrade your personal models.
Ximilar also provides tools to help businesses label and annotate their own training data.
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