Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!
Labeling tool with SAM(segment anything model),supports SAM, SAM2, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具
Tailor是一款视频智能裁剪、视频生成和视频优化的视频剪辑工具。目前的目标是通过人工智能技术减少视频剪辑的繁琐操作，让普通人也能简单实现专业剪辑人的水准！长远目标是让视频剪辑实现真正的AIGC！
Video-Inpaint-Anything: This is the inference code for our paper CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility.
[CVPR 2025] The code for "VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM"
Grounded Tracking for Streaming Videos
Playground Web UI using segment-anything-2 models from the Meta.
Ultralytics VSCode snippets plugin to provide quick examples and templates of boilerplate code to accelerate your code development and learning.
A gradio based webui for meta segment-anything-model 2 (SAM2), both image and video are supported
Simple Video Summarization using Text-to-Segment Anything (Florence2 + SAM2) This project provides a video processing tool that utilizes advanced AI models, specifically Florence2 and SAM2, to detect and segment specific objects or activities in a video based on textual descriptions.
Image segmentation application that utilizes the SAM2 (Segment Anything Model) via API to perform object detection and segmentation on uploaded images.
🎨 Add text overlays to segmented objects in your images using AI. Powered by Meta's SAM2 for segmentation, running entirely in your browser. Perfect for creating memes, social media content, and creative image editing. No backend required!
This repository demonstrates the use of **SAM2 (Segment Anything Model 2)** to automatically generate object masks for images. SAM2 efficiently processes prompts to generate masks by sampling over the entire image and predicting multiple masks from single-point input prompts.
Run Segment Anything 2 (SAM 2) on macOS using Core ML models
A script that utilises Facebook's SAM-2 model to add segmentation mask, bounding box, and rotation angle annotations to the MIDV500 and MIDV2019 datasets.
Colaboratory上でSAM2をお試しするサンプル
Use natural language to ground relevant things.
This repository provides a powerful AI-driven solution for removing objects from videos using text prompts. By integrating SAM2, Florence2, and ProPainter, the model enables precise and seamless object removal. Simply describe the objects to remove (e.g., "man, car, cap, basket"), and the AI will handle the rest with high accuracy.
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