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Log, Store and Compare Your ML Experiment Runs.
Best-in-class ML experiment tracking tools centralized in a platform to better organize your AI projects. Analyze and share your results with your team. Assure reproducibility and traceability.
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Send all the metrics you want to log and analyze your trainings. Picsellia saves all your previous work so you don't have to worry about missing any data.
Compare Your Experiments
Compare your experiment results, everything from accuracy to CPU usage, so you always know what has the most influence on your final models.
Share Your Work & Collaborate
Promote collaboration across your teams. Participate in model creation seamlessly with comments, mentions and notifications.
Centralize all your
Leverage our collaborative dashboard created with few lines of code to work as a team and enhance reproducibility.
Store all your metadata to retrain later.
Create an interactive dashboard in one-line of code
Share it with your team to iterate faster
Start logging ->
Organize all your trainings
in just one place
Compare experiments and models' performances easily.
Search into your trainings quickly
Easily extract the top performers
Re-use old experiments to perform transfer learning in few clicks.
Import dataset ->
Quickly Launch Training From Anywhere
If you want to perform custom ML experiments, install our Python package to link your scripts with Picsellia seamlessly.
Simply pull our Docker image from Docker Hub to remotely launch trainings on any server.
Or just run some notebooks on Google Colab or on your own machine.
Hyperparameter optimization made easy
Once you identified your best architecture, leverage our hyperparameter tuning solution to get this extra % of performances!
Configure your scans with a simple dictionnary
Instantiate your search and run it in the cloud
Extract the very best performer
Start optimizing ->
Train your models and track experiments
Claim your 14-day free trial. It'll only take a few to get you started.
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Picsellia is a CVOps platform designed to centralize all your computer vision projects.