google/owlvit-base-patch32 is an open-vocabulary vision transformer model from Google Research that performs zero-shot object detection. It can detect arbitrary objects in images based on text queries without being limited to a fixed set of classes. The model is hosted on Hugging Face and integrates with the transformers library, making it useful for researchers and developers building flexible computer vision applications.
Owlvit Base Patch32 sits in PulseGate's Other AI category. It focuses on enabling zero-shot, open-vocabulary object detection in images without predefined class labels. Owlvit Base Patch32 is an open-source project aimed at machine learning developers and researchers. The project is open source (Open Source). The product ships for the web and API.
Behind Owlvit Base Patch32 is Google, based in the United States, and the product first shipped in 2022. Among its 4 catalogued features are open-vocabulary detection, zero-shot object detection, and vision transformer.
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