All content for attributes annotation

Deploy MP Wiki

Primitive deployment using web frameworks

General scenario to deploy a ML model into production In general cases, we mostly follow the above diagram for deployment. There are 4 layers to …

Development User documentation

Project Overview

Our project overview page is the first page you will see in Hasty when logging in. Here you can see your datasets, create new projects, and edit …

Development User documentation

Project Summary

You can access a project-specific report by clicking the three dots on the card of the project you want to see the summary of, and then click …

Development MP Wiki

Random

In this type of split, the input data in randomly assigned to the test, train and validation set according to the given sizes. The split is done …

Deploy Development MP Wiki

ReduceLROnPlateau

ReduceLROnPlateau is a scheduling technique that monitors a quantity and decays the learning rate when the quantity stops improving. The improvement …

Development Deploy MP Wiki

RMSprop

RMSprop is another optimization technique where there is a different learning rate for each parameter. The learning rate is varied by calculating the …

Development Deploy MP Wiki

Seed

All of us have experienced getting different results after successive iterations of an algorithm with the same data. This can occur due to randomness …

Development Deploy User documentation

Semantic Segmentation (png images)

Export archive directory and file structure project_folder |-- label_classes.json |-- dataset1_name |-- image1.png |-- image2.png |-- ... |-- …

Deploy Development MP Wiki

SGD

Deep learning optimizer literature starts with Gradient Descent and the Stochastic Gradient Descent (SGD) is one very widely used version of it. The …

Development Deploy MP Wiki

Shift Scale Rotate

Parameters Probability It is the probability of applying the transformation to the sample images. Higher probability means that the expected number …

Development Deploy MP Wiki

Smallest max size

Parameters Minimum size of smallest side The parameter that specifies the length of the maximum size that is to be used to resize minimum side of the …

Development User documentation

Split Results

What will you see after splits? After creating a split for a particular machine learning task with given sets of data, the user is able to see the …

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Tuple

Hasty.ai 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.