All content for attributes annotation

Development Deploy MP Wiki

Adamw

AdamW is very similar to Adam . It only differs in the way how the weight decay is implemented. The way how it's implemented in Adam came from the …

Development User documentation

Advanced options

In advanced options we currently only have one option available to users. The "Automated tools generate..." toggle allows you to decide if our …

Development User documentation

AI assistants

AI assistants are what we call our AI tooling that you can use to automate parts - or all - of your annotation work. The concept behind them is …

Development User documentation

AI assistants status overview

Out of the many questions we get from our users, many concerns the status and training of our AI assistant models. We’re the first to admit this has …

Development Deploy MP Wiki

AMSgrad Variant (Adam)

While the Adam optimizer, which made use of momentum as well as the RMS prop, was efficient in adjusting the learning rates and finding the optimal …

Development Deploy MP Wiki

ASGD

Average Stochastic Gradient Descent, abbreviated as ASGD, averages the weights that are calculated in every iteration. $$ w_{t+1}=w_t-\eta \nabla …

Development User documentation

Attribute Prediction

Attribute Prediction dashboard Widgets GPU Consumption Running time Inference time Hamming Score VS Number of Iterations Loss VS Number of Iterations …

Deploy User documentation

Attribute Prediction

Sample inference script for torchscript exported image-tagger. The following sample code should be run from the export directory: import torch import …

Deploy Development MP Wiki

Attributor

Attributors are used in combination with other models such as object detectors , semantic and instance segmentors . They add a layer of meta-data to …

Development User documentation

Automated labelling

Automated labelling is a way for you to batch-process images in your project. Essentially, you take a model used in your project (Object Detection …

Development Deploy MP Wiki

Average Loss

Average loss is the average of various losses that is arise in a model. Average loss varies from model to model since different types of loss arise …

Development Deploy MP Wiki

Base Learning Rate

The learning rate defines how large the steps of your optimizer are on your loss landscape. The base learning rate defines at which learning rate …

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