Getting started
Last updated
Last updated
Visualyze Robot AI is a no-code machine learning development platform for developers with limited machine learning knowledge to train accurate machine learning models to automate their business processes.
Train custom machine learning models with limited knowledge
Import models trained with popular ML libraries for retraining and deployment
Create datasets and train models using a no code AI Builder
Deploy ML models to Robot AI server and provide access to robots and third party applications
Integrated with Visualyze Robots to automate end to end business processes
Analyze an image to find the categories that apply to the image. For example, you could train a model that classifies images of car parts to decide if it is defective or not.
Analyze an image and find all the objects found in the image, consisting of a label and bounding box location for each object. For example, you could train a model to find all the bar codes in an image with its location or train a model to find all humans in a factory from the given surveillance image.
Analyze the given text to find the categories that apply to the content of the text. For example, you could train a model to classify email contents to find its sentiment and classify to negative or positive.
Analyze the given text to identify and extract known entities contained in the text content. For example, you could train a model to look at customer support emails and extract the products they are talking about and which department is the mail addressed to by extracting product and department entities.
Analyze the video data and returns a list of shots and segments where these objects were detected. For example, you could train a model that analyzes video data from soccer games to identify and track the ball.
Analyze your video data and returns a list of categorized actions with the moments the actions happened. For example, you could train a model that analyzes video data to identify the action moments involving a soccer goal, a golf swing, a touchdown, or a high five.
Analyze video data and returns a list of categorized shots and segments. For example, you could train a model that analyzes video data to identify if the video is of a soccer, baseball, basketball, or football game.
Analyze tabular data and predict a numeric value. For example, you could train a model to estimate the value of a house.
Analyze tabular data and returns a list of categories that describe the data. For example, you could train a model to predict whether the purchase history for a customer predicts that they will buy a subscription or not.
