sam

X-AnyLabeling: A lightweight, efficient, and unified cross-platform desktop application for annotating text, image, video, and multimodal data, combining versatile built-in tools with state-of-the-art AI models and flexible multi-format export.

The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.

CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM

InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)

Labeling tool with SAM(segment anything model),supports SAM, SAM2, SAM3, sam-hq, MobileSAM EdgeSAM etc.交互式半自动图像标注工具

SAM: Sharpness-Aware Minimization (PyTorch)

Res-SAM Framework for GPR Underground Hazard Detection

A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.

Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.

[CVPR2024] The code for "Osprey: Pixel Understanding with Visual Instruction Tuning"

A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation

Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.

[ICLR'24 & IJCV‘25] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

[AAAI 2025] Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"

SimpleAICV:pytorch training examples.

VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision

optimizer & lr scheduler & loss function collections in PyTorch

[AAAI2026] X-SAM: From Segment Anything to Any Segmentation

The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"

[IEEE TPAMI] Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation