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Train a computer vision model relevant to your business without the need to collect & label vast amounts of images.
Build computer vision applications for your specific business needs by leveraging visual foundation models.
Train your proprietary foundation model or use Synativ's starting points if you have low amounts of data (100s of images).
Synativ supports classification, detection, and segmentation tasks.
Start building your applications with only a few lines of code (no PhD required).
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Synativ's foundation model approach allows you to achieve the same model performance without collecting and labelling massive datasets.
Training with smaller datasets saves money on valuable cloud compute.
Stop waiting for data collection & labelling and wrangling with GitHub repositories. Build applications quickly on top of Synativ's foundation models and SDK.
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