Build an Image Segmentation Application | Meta AI's Segment Anything Model | kandi tutorial
1Image segmentation is partitioning an image based on the objects present and their semantic importance. 𝗜𝗻𝘀𝘁𝗮𝗹𝗹 𝘁𝗵e 𝟭-𝗰𝗹𝗶𝗰𝗸 𝗸𝗮𝗻𝗱𝗶 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗸𝗶𝘁 𝗼𝗻 Image Restoration Engine 𝗵𝗲𝗿𝗲 - https://kandi.openweaver.com/collections/artificial-intelligence/build-an-image-segmentation-application?utm_source=youtube&utm_medium=social&utm_campaign=organic_kandi_ie&utm_content=kandi_ie_kits&utm_term=all_devs
This will install a sandbox Image segmentation application and all the prerequisites needed for the tutorial.
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The model was trained on a dataset of 11 million images and more than a billion segmentation masks. Also, we use the OWL-ViT (short for Vision Transformer for Open-World Localization). This zero-shot text-conditioned object detection model can query an image with one or multiple text queries.
The entire solution is available as a package to download from the source code repository.
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