All content for attributes annotation

Deploy Development MP Wiki


StepLR decays the initial learning rate with some multiplicative factor. The decaying happens every N epochs or every N eval period (in case …

Development MP Wiki


Some classification problems do not have a balanced number of examples for each class label. For example, for a simple classification task, there …

Deploy User documentation

TorchScript Sample Inference Scripts

In the following pages we provide sample scripts which can be used to run TorchScript models in python. Please keep in mind that these models can …

Development User documentation

Upload images

On this screen, you can create and remove datasets in a project. Datasets are collections of images, not unlike folders in your operating system, …

Development User documentation

Users and Roles

On this screen, you can control who can do what in your project. It consists of two parts. At the top, we have Users where you can invite a user and …

Deploy Development MP Wiki


Warm-up is a way to reduce the primacy effect for adaptive schedulers like Adam or AdamW of the early training examples. It allows them to compute …

Development Deploy MP Wiki

Weight Decay

The weight decay hyperparameter controls the trade-off between having a powerful model and overfitting the model. Typically, the parameter for weight …

Development User documentation

When to use which tool

When using a new annotation tool, it can sometimes be hard to know which tools you should use. To that, we prepared this cheat sheet for you to use. …

Development Design Podcast

Your Competitive Advantage Comes From a Great Data Asset

The Data Driven Podcast was joined by Tristan Rouillard, a co-Founder of supports vision AI practitioners and their evolving needs …


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Tuple helped us improve our ML workflow by 40%, which is fantastic. It reduced our overall investment by 90% to get high-quality annotations and an initial model.