Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: sam

Englisches Verzeichnis

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

9.5K
Stars
76/100
Trust
Kategorie: ml-automationAudit

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

4.0K
Stars
85/100
Trust
Kategorie: ml-automationAudit

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!

3.4K
Stars
83/100
Trust
Kategorie: robotics-iotAudit

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

2.1K
Stars
73/100
Trust
Kategorie: robotics-iotAudit

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)

3.2K
Stars
71/100
Trust
Kategorie: media-automationAudit

A QGIS plugin tool using Segment Anything Model (SAM) to accelerate segmenting or delineating landforms in geospatial raster images.

413
Stars
70/100
Trust
Kategorie: geo-scienceAudit

Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios

864
Stars
65/100
Trust
Kategorie: robotics-iotAudit

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

612
Stars
65/100
Trust
Kategorie: robotics-iotAudit

[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation

301
Stars
60/100
Trust
Kategorie: ml-automationAudit

[CVPR 2022] GAN inversion and editing with spatially-adaptive multiple latent layers

174
Stars
58/100
Trust
Kategorie: robotics-iotAudit