Meet OWLSAM2 : a groundbreaking project that combines the cutting-edge zero-shot object detection capabilities of OWLv2 with the state-of-the-art mask generation prowess of SAM2 (Segment Anything Model 2). This innovative fusion results in a text-promptable model that sets new standards in the field of computer vision. The heart of OWLSAM2 lies in integrating OWLv2 and SAM2, two advanced models in their respective domains. OWLv2, known for its exceptional zero-shot object detection abilities, is designed to identify objects in images without prior training on specific datasets. This model leverages large-scale language-image pre-training, enabling it to recognize and categorize objects based on textual descriptions alone. Such an approach significantly enhances its versatility and applicability across various scenarios. � [FREE AI WEBINAR] ‘Learn how to fine-tune SAM 2 with your own data.’ […]
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