Based on our record, Project Oxford seems to be a lot more popular than No Code AI Model Builder. While we know about 12 links to Project Oxford, we've tracked only 1 mention of No Code AI Model Builder. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Google Cloud AI and Azure AI Services offer enterprise-grade solutions with robust reliability and compliance features. These platforms integrate smoothly with their respective cloud ecosystems but may require more configuration and have higher entry barriers than Hugging Face. - Source: dev.to / about 1 month ago
In this example, we create an AI Services and then connect it to the project. The available services include Azure OpenAI, Speech, Content understanding, Translation and a lot of other Azure AI capabilities. For the details of how to create and manage Azure AI services, please refer to the Azure AI Services website. - Source: dev.to / 4 months ago
There are three routes you can go with this. The simplest would probably be to use Microsoft's Face API, which is part of their Azure Cognitive Services platform. All of the computing is done in the cloud, and at least for your purposes, the modelling necessary to detect faces has already been performed by Microsoft, so it's a single method call to send it a picture and receive back a bounding box. The caveat is... Source: over 2 years ago
Azure Cognitive Services provide a few interesting AI as a service offerings beyond CLU & LUIS that can be helpful for conversational AI:. - Source: dev.to / almost 3 years ago
Hello, not sure about the quality of this API as Iโve just heard about it but thought it might help you: Azure Cognitive Services. Source: about 3 years ago
I dont work for these guys but I dont hate either, some decent results quite quickly : https://no-code-ai-model-builder.com/. Source: over 2 years ago
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