Introducing alwaysAI’s New Cutting-Edge MLOps Features for Computer Vision

We are excited to announce the launch of alwaysAI’s new cutting-edge MLOps features. Along with Dataset Management and Remote Deployment, Model Training is the third enhanced feature of alwaysAI 2.0.

As a truly end-to-end computer vision platform, we’re always looking for ways to ensure developers have all the tools and functionality they need to build enterprise-grade models and applications. Our platform is built for easy integration so no matter where you are in your computer vision journey, alwaysAI can get you to the finish line.  

What’s new and improved in our MLOps lineup? An enhanced UI from which to choose model training parameters, multiple GPU options for faster training times, forecasted training times based on your specific parameters, real-time session performance, and a brand new model evaluation tool, modelIQ.

Model Training is Essential to Successful Computer Vision Applications

Computer vision isn’t easy. It requires attention to detail at every step and a willingness to analyze, modify, and refine. Building a good model can save you invaluable time and frustration throughout the implementation of your computer vision solution. 

A good model starts with good data. alwaysAI’s comprehensive Dataset Management tool streamlines the process of collecting, importing, annotating, and managing your data from one intuitive platform. Your data feeds into your computer vision model. Our model training enhancements expedite the process of generating a production-level model. But a great model is just one aspect of a robust application; at alwaysAI, we nurture the entire machine learning lifecycle with all the tools, functionality, and technical support enterprises need to successfully deploy and maintain effective computer vision solutions.  

With so many businesses moving so quickly towards adopting machine learning (ML) solutions to improve their business operations, MLOps are proving increasingly important. 

MLOps refers to managing the entire lifecycle – data gathering, model creation, application releases (software development lifecycle, continuous integration/continuous delivery), orchestration, deployment, health, diagnostics, and even governance of machine learning applications. 

With our comprehensive approach to computer vision solutions, alwaysAI manages MLOps so enterprises get all the value of computer vision with none of the headaches. For innovative enterprises, this means you can rely on alwaysAI for your computer vision operations, while you continue focusing on what you do best. We’ll take care of optimizing your operations with computer vision solutions that deliver.

What’s New, What’s Improved

In our constant quest to bring you the most useful and powerful computer vision tools, we’ve upgraded and enhanced our model training with features you didn’t even know you needed! 

Select Your Model Training Parameters (Improved)

While alwaysAI users have always (wink!) been able to configure their model training session in any way they see fit, we have streamlined the process through an updated UI.

(Need a refresher on model training basics? Click here.)

Choose Your Training Speed (*New*)

When developing your computer vision model, it’s important to understand the tradeoff between accuracy and speed. The larger and more complex the model, the longer your inference speed (the time it takes the model to make a prediction). The smaller the model, the faster the inference time with (most likely) less accuracy. 

Depending on your use case, you might opt to sacrifice one or the other. With alwaysAI’s enhanced Model Training, training speed will not be an issue, even for the largest model. You can select from multiple GPU options and see an estimate of how long training will take based on each option. Choose from Standard, Turbo, Nitro, or Nitro Max options. 

Get Forecasted Results (*New*)

Based on each of the parameters you select, we’ll show how long model training should take. Armed with this data, you can adjust one or more parameters for more flexible model training.

See Session Performance in Real-Time (Improved)

alwaysAI Model Training Session Dashboard

Understanding your model performance can feel like trying to paint a portrait in the dark. You don’t know what you’ll get until it’s done. Not with alwaysAI Model Training! Our new and improved tool allows you to see your training session performance in real-time.

Get mAp, recall, and validation loss in real-time to better understand training performance. Validation loss indicates an error with the model. Mean Average Precision (mAp) essentially measures the accuracy of your bounding boxes, and recall indicates if your model missed an object completely. 

By seeing these metrics as your model trains, you’ll save time and eliminate unnecessary headaches. These metrics will help identify problems in your model so you can make adjustments earlier in the process. 

The handy progress status bar provides real-time data about the progress of your model training to maximize your valuable time. 

Evaluate Your Model With alwaysAI’s modelIQ (*New*)

Once your model training session is complete, alwaysAI offers a complete model evaluation tool. modelIQ uses the logic of the Confusion Matrix to help measure the precision and recall of your model and provides an F1 score for your test dataset. With this level of detail, you can narrow down where your model needs to be refined. 

For example, modelIQ can evaluate how your model performed by label, size, and image quadrant to pinpoint exactly where your detections are most accurate and where they need adjusting. 

With these unprecedented insights, the entire model training process is smoother, producing models that deliver. 

Model Catalog and Model Details Pages (Enhancements Coming Soon!) 

As computer vision experts, our team has curated and tested thousands of models. We have an extensive catalog of pre-trained models that are perfect for standard use cases.

We’re updating the look and functionality of our catalog to make it easier to find exactly what you’re looking for. With our new and improved model catalog, you will be able to browse by model type, model architecture, devices, datasets, frameworks, and even licenses. (We'll be sure to let you know when it's polished and ready!)

Don’t see what you’re looking for? Reach out to an AI Expert and find us on Discord (or LinkedIn, Twitter, Instagram, Threads). 

Conclusion

With the growth and enhancement of our MLOps capabilities, alwaysAI is more sophisticated than ever. Our powerful platform ensures you get practical computer vision models to transform your business. 

With Model Training, you can select your model training parameters, choose your training speed, get forecasted results on how long model training should take, see your session performance in real-time, and evaluate your model after training. Once you’ve optimized your model, our Remote Deployment tool can get you up and running.