YOLO-World + EfficientSAM is a browser-based computer vision demo that detects objects named by the user and generates segmentation masks in uploaded photos or videos. It is intended for experimentation and visual analysis by computer vision researchers, developers, and other technical users.
In the Computer vision, OCR & document AI space, YOLO-World + EfficientSAM takes a focused approach. It focuses on finding and segmenting specified objects in images and videos without manually annotating them. YOLO-World + EfficientSAM is a consumer product aimed at computer vision researchers and developers. YOLO-World + EfficientSAM costs nothing to use. It runs on the web, the command line, and embeddable surfaces.
Behind YOLO-World + EfficientSAM is SkalskiP. Among its 7 catalogued features are image upload, video upload, and text prompts.
Summary written by a language model from the project’s public pages.
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