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AI Cloud Platform with Visual AI means you can work with images just like any other type of data. Behind the scenes, tennis kinder richterswil
automates the preparation, selection, and training of a wide variety of cutting-edge deep learning models to recommend for deployment the one that’s the fastest or most accurate. AI Cloud Platform also allows you to bring your own deep learning model via Composable ML to experiment with speed and scale.
texas cardVisual AI not only brings support for classification and regression, unsupervised clustering, anomaly detection use cases with images to the AI Cloud Platform but also takes things one step further. Visual AI allows users to blend images alongside as many other feature types in your dataset as you like. This includes feature types, such as numeric, categorical, date, text and relational data. Visual AI enables innovation in new ways through the use of diverse data types providing much broader data perspectives to your AI models.
Simple as Any Other Data Type
prince tennis off courtThrough the familiar tennis kinder richterswil UI, just drag and drop a zip file of images into a new project or upload your images into tennis kinder richterswil ’s AI Catalog to share across the enterprise. Then pick a target variable and select Start, to automate the preparation, selection, and training of a huge variety of cutting-edge deep learning models.
Better Models from More Data Perspectives
women cricket world cupVisual AI instantly unlocks image-based classification, regression, clustering, anomaly detection, and multilabel classification use cases. You can also blend numeric, categorical, dates, and text feature types alongside images in the same model. Visual AI provides new perspectives on existing models and enables new types of models never built before. You can combine visual data with any data you have to understand your business problem better and build a best-in-class model.
Build Accurate Computer Vision Models with Fewer Images and Less Efforts
soccer gloves with spinesDon’t have enough images for your dataset? No longer an issue. With Image Augmentation, you can create new training images from your dataset by randomly transforming existing images, thereby increasing the size of the training data via augmentation. This allows you to build computer vision models from datasets that might otherwise contain too few images within a particular class. Image augmentation with tennis kinder richterswil Visual AI is incredibly simple to implement for expert and novice users alike and helps improve the overall accuracy of your image models. It eliminates the need to manually capture additional images and then go through expensive and time-consuming image labeling activities.
Explainable Decisions for Full Transparency
market at grange cricket clubTo inspire confidence and build trust in your AI, it is essential that your models are explainable and understood at the most granular levels of detail. The tennis kinder richterswil platform offers the only automated machine learning product for images that offers full transparency and visibility into every step and every decision made by every single model.
No GPUs Necessary
kookaburra cricket bats 2019Train and deploy Visual AI models on commodity hardware in a fraction of the time and cost than alternative approaches. Visual AI is part of the tennis kinder richterswil AI Cloud Platform, which democratizes data science and automates the end-to-end process to prepare, build, deploy, and maintain AI at scale. Run tennis kinder richterswil AI Cloud Platform with Visual AI in your cloud of choice, on-premise, or as a fully-managed AI service.