Topics / #segment-anything

Segment-anything projects on GitHub

Promptable image segmentation models that isolate any object.

As of , the most-starred Segment-anything projects on GitHub are ultralytics (62.7K stars), labelme (16.2K stars) and Edit-Banana (5.5K stars). GitHub.Locker tracks 5 Segment-anything repositories with 86.1K stars combined. The fastest-growing on October 19 was VisioCraft, with +286 stars in a day.

5Projects
86.1KStars in total
+331Stars in a day
Browse in the catalog →github.com/topics/segment-anything ↗

Hot right now

Most stars gained in a day · Oct 19

+286

VisioCraft

AhmadHassan-BTed/VisioCraft · ★ 1.2K

VisioCraft AI is a Python web application for object extraction, context-aware background fill, and image composition using computer vision and generative models like YOLO, SAM, and Stable Diffusion.

+37

ultralytics

ultralytics/ultralytics · ★ 62.7K

Ultralytics YOLO is a family of state-of-the-art computer vision models (YOLO26, YOLO11, YOLOv8, etc.) covering object detection, instance segmentation, semantic segmentation, image classification, pose estimation, oriented object detection, depth estimation, and multi-object tracking in video.

+4

labelme

wkentaro/labelme · ★ 16.2K

Labelme is a graphical image annotation tool written in Python: you draw polygons, rectangles, circles, lines and points on images to build labeled datasets for computer vision work.

+2

Edit-Banana

BIT-DataLab/Edit-Banana · ★ 5.5K

It converts images of static diagrams — flowcharts, multi-level architecture diagrams, technical schematics, scientific formulas — into fully editable DrawIO files, powered by fine-tuned SAM 3 segmentation and multimodal LLMs.

The all-time top

5 projects · by stars

  1. #1 · ultralytics/ultralytics

    ultralytics

    Ultralytics YOLO is a family of state-of-the-art computer vision models (YOLO26, YOLO11, YOLOv8, etc.) covering object detection, instance segmentation, semantic segmentation, image classification, pose estimation, oriented object detection, depth estimation, and multi-object tracking in video.

    62.7K
  2. #2 · wkentaro/labelme

    labelme

    Labelme is a graphical image annotation tool written in Python: you draw polygons, rectangles, circles, lines and points on images to build labeled datasets for computer vision work.

    16.2K
  3. #3 · BIT-DataLab/Edit-Banana

    Edit-Banana

    It converts images of static diagrams — flowcharts, multi-level architecture diagrams, technical schematics, scientific formulas — into fully editable DrawIO files, powered by fine-tuned SAM 3 segmentation and multimodal LLMs.

    5.5K
  1. 4

    VisioCraft

    1.2KAhmadHassan-BTed/VisioCraft · Python

    VisioCraft AI is a Python web application for object extraction, context-aware background fill, and image composition using computer vision and generative models like YOLO, SAM, and Stable Diffusion.

  2. 5

    ComfyUI-H3-FaceRefine

    526Carasibana/ComfyUI-H3-FaceRefine · Python

    This is a ComfyUI custom node pack that fixes small, blurry faces in MiniMax H3 generated video by tracking each face per frame, cropping it to fill a canvas, letting H3 re-render the crop in detail, and compositing the refined face back into the original video.

Often tagged together