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YOLO models for computer vision tasks
Segment Anything Model for image/video segmentation with AI prompts
A flexible and interactive tool for video object tracking and segmentation, powered by AI models.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
A Python library that enables editing of images using AI-powered tools like Segment Anything, ControlNet, and Stable Diffusion.
Efficient vision foundation models for high-resolution generation and perception.
Effortless AI-assisted data labeling with support from YOLO, Segment Anything (SAM, SAM2), and MobileSAM.
InternGPT is an open-source demo platform that showcases various AI models, including DragGAN, ChatGPT, ImageBind, and multimodal chat.
An open-source project for tracking and segmenting any objects in videos using AI models like SAM and AOT.
An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.
A collection of general AI methods and tools for developers building with AI.
Caption-Anything is a versatile AI-powered tool for generating tailored image captions with diverse controls.
A curated collection of resources related to the Segment Anything model, a powerful image segmentation tool.
A must-have resource for experimenting with and building on the OpenAI vision API.
A Python library that enables lifting 2D objects to 3D using Segment-Anything model.
An open-source framework for AI-powered process automation with support for large language, action, and multimodal models.
Adapts Meta AI's Segment Anything model to downstream tasks using adapters and prompts.
A curation of the latest CVPR (Computer Vision and Pattern Recognition) papers, code, and demos for AI-powered developers.
A fast offline inference version of the Segment Anything Model (SAM) for PyTorch developers.
An extension for Stable Diffusion web UI that performs inpainting using Segment Anything model.
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