Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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Ango Hub
Ango Hub is an all-in-one, quality-oriented data annotation platform that AI teams can use. Ango Hub is available on-premise and in the cloud. It allows AI teams and their data annotation workforces to quickly and efficiently annotate their data without compromising quality.
Ango Hub is the only data annotation platform that focuses on quality. It features features that enhance the quality of your annotations. These include a centralized labeling system, a real time issue system, review workflows and sample label libraries. There is also consensus up to 30 on the same asset.
Ango Hub is versatile as well. It supports all data types that your team might require, including image, audio, text and native PDF. There are nearly twenty different labeling tools that you can use to annotate data. Some of these tools are unique to Ango hub, such as rotated bounding box, unlimited conditional questions, label relations and table-based labels for more complicated labeling tasks.
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Azure AI Custom Vision
Develop a tailored computer vision model in just a few minutes with AI Custom Vision, a component of Azure AI Services, which allows you to personalize and integrate advanced image analysis for various sectors. Enhance customer interactions, streamline production workflows, boost digital marketing strategies, and more, all without needing any machine learning background. You can configure your model to recognize specific objects relevant to your needs. The user-friendly interface simplifies the creation of your image recognition model. Begin training your computer vision solution by uploading and tagging a handful of images, after which the model will evaluate its performance on this data and improve its accuracy through continuous feedback as you incorporate more images. To facilitate faster development, take advantage of customizable pre-built models tailored for industries such as retail, manufacturing, and food services. For instance, Minsur, one of the largest tin mining companies globally, demonstrates the effective use of AI Custom Vision to promote sustainable mining practices. Additionally, you can trust that your data and trained models are protected by robust enterprise-level security and privacy measures. This ensures confidence in the deployment and management of your innovative computer vision solutions.
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Eyewey
Develop your own models, access a variety of pre-trained computer vision frameworks and application templates, and discover how to build AI applications or tackle business challenges using computer vision in just a few hours. Begin by creating a dataset for object detection by uploading images relevant to your training needs, with the capability to include as many as 5,000 images in each dataset. Once you have uploaded the images, they will automatically enter the training process, and you will receive a notification upon the completion of the model training. After this, you can easily download your model for detection purposes. Furthermore, you have the option to integrate your model with our existing application templates, facilitating swift coding solutions. Additionally, our mobile application, compatible with both Android and iOS platforms, harnesses the capabilities of computer vision to assist individuals who are completely blind in navigating daily challenges. This app can alert users to dangerous objects or signs, identify everyday items, recognize text and currency, and interpret basic situations through advanced deep learning techniques, significantly enhancing the quality of life for its users. The integration of such technology not only fosters independence but also empowers those with visual impairments to engage more fully with the world around them.
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