segment-anything-model

SAM: zero-shot image segmentation via points, boxes, masks.

分类

开发提效

版本

v1.0.0

作者

弈韬(@ra1nzzz)

下载

1

收藏

0

发布

2026-08-25

更新

2026-08-25

TRACE 评分

3.2 / 5

内容概览

Guide to using Meta AI's Segment Anything Model for zero-shot image segmentation. Use SAM when: - Need to segment any object in images without task-specific training - Building interactive annotation tools with point/box prompts - Generating training data for other vision models - Need zero-shot transfer to new image domains - Building object detection/segmentation pipelines - Processing medical, satellite, or domain-specific images Key features: - Zero-shot segmentation : Works on any image domain without fine-tuning - Flexible prompts : Points, bounding boxes, or previous masks - Automatic segmentation : Generate all object masks automatically - High quality : Trained on 1.1 billion masks from 11 million images - Multiple model sizes : ViT-B (fastest), ViT-L, ViT-H (most accurate) - ONNX export : Deploy in browsers and edge devices Use alternatives instead: - YOLO/Detectron2 : For real…

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