As a data scientist, some of the biggest challenges you’ll face are storing your experiments’ most relevant metrics and artifacts, and comparing your results to find the best performing AI model. With Picsellia, get a complete experiment tracking toolbox, and more!
Compare everything from accuracy to CPU usage. Our dashboards and benchmarking tools let you identify the best settings and source of errors, and validate your models.
Store, share & collaborate on a single platform
Store your computer vision models in one place and let your teams access them, add comments, mentions, and notifications.
Log in one single line of code
Your engineers don’t have to leave their IDE, just integrate the Picsellia SDK and track it all! Send all the metrics you want to log and analyze your trainings.
Archive your experiments
We save all your work in one single place, so you don't have to worry about losing any data.
Hyperparameter tuning made easy
The training of a deep learning model relies on a wide variety of hyperparameters that might affect your model’s performance. Once you identified your best architecture, Picsellia helps you find the best hyperparameter combination to rapidly optimize model performance.
Whether you want to interact with data, create experiments, or save your files and results, you can do it directly from your code thanks to our native integrations.
Install our Python package to link your scripts to Picsellia.
Already packaged and ready to use. Run command and go grab a coffee.
Run notebooks on Google Colab or on your own machine.
Automatically launch your experiment on a remote server.
