Build an Image Segmentation Application | Meta AI’s Segment Anything Model | kandi tutorial

Image segmentation is partitioning an image based on the objects present and their semantic importance. ๐—œ๐—ป๐˜€๐˜๐—ฎ๐—น๐—น ๐˜๐—ตe ๐Ÿญ-๐—ฐ๐—น๐—ถ๐—ฐ๐—ธ ๐—ธ๐—ฎ๐—ป๐—ฑ๐—ถ ๐˜€๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป ๐—ธ๐—ถ๐˜ ๐—ผ๐—ป Image Restoration Engine ๐—ต๐—ฒ๐—ฟ๐—ฒ –

This will install a sandbox Image segmentation application and all the prerequisites needed for the tutorial.

#kandiB4Ucode

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.

Explore many more projects on kandi –

#ai #meta #imagesegmentation

Leave a Reply

Your email address will not be published. Required fields are marked *

Amazon Affiliate Disclaimer

Amazon Affiliate Disclaimer

โ€œAs an Amazon Associate I earn from qualifying purchases.โ€

Learn more about the Amazon Affiliate Program