Xtreme1 is an open source multi-modal training data platform that supports multi-format data upload, labeling and supervision. It helps algorithm engineers and scientists efficiently label data and train models. Visualize AI lifecycle results and handle machine learning all in one place with repeatability, manageability, and automation. Improve the efficiency of the entire Data-centric MLOps by improving data quality, such as improving data labels, improving data labeling quality, etc. Visualize AI lifecycle results and handle machine learning all in one place with repeatability, manageability, and automation.
At this stage, Data-centric MLOps faces many challenges: engineers have invested a lot of time and energy in data governance such as the balance, visualization, consistency and accuracy of sample data in terms of labeling schemes and corresponding modeling and debugging. Security cannot be guaranteed, etc.
Xtreme1 designed unique advantages for these common pain points in the training data process.Platform function.
Xtreme1 provides a unified operating environment through Docker Compose/Docker Engine; front-end and back-end services are split and can be upgraded independently
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